Harbor, AI Jobs in Usa

Pay: $100,000.00 - $175,000.00 per year

Job description:

Branch Supervisor/LPO Escrow Closer – Gig Harbor, WA

CW Title & Escrow Overview

We’ve been building CW Title & Escrow since 2001 and today we are proud to be the largest title and escrow company headquartered in Washington. Through our fifteen CW Title & Escrow locations here in Washington, we provide exceptional title services for Chelan, Douglas, Island, King, Okanogan, Pierce, Skagit, Snohomish, Spokane, Thurston, and Whatcom counties while offering escrow services for each county throughout the state. While we utilize multiple large, national underwriting companies, our decisions are made locally. We are privately held so we are not captive to decisions made by executives who focus on Wall Street’s quarterly expectations. We simply focus on helping more people buy and sell property right here in our local, Washington communities. Our in-house underwriting, legal counsel, title examiners, and escrow teams are experts in our local markets as they call our beautiful state their home too. Our extensive expertise allows our clients to efficiently move from under agreement to closing. Our local focus allows us to commit to those in need in our state via our CW Cares Program. Our passion for professionally serving our local communities drives us to continue to grow. We put people first.

Overview of Leadership Opportunity

CW Title & Escrow is seeking a Branch Supervisor/LPO Escrow Closer to lead and grow our business in Gig Harbor, WA. You will lead a seasoned team of title, escrow, and sales professionals to drive title and escrow business through a relentless focus on creating hospitality in all that we do for our clients, agents, and lenders. In this role, you will be accountable to consistently deliver results while increasing efficiency and security for clients through our title and escrow processes. Take the next step in your career and join our team!

This role will be based in Gig Harbor, WA with some travel required.

The qualified candidate will possess some or all of the following:

• Ability to maintain and grow client relationships
• Extensive experience in the title and escrow industry
• Previous leadership experience a plus.
• Ability to lead, develop, and help talented team members grow in their career
• Client-centric mindset with an unparalleled drive to help clients achieve their goals
• Ability to analyze reporting to shift resources as necessary
• Knowledge of Qualia a plus
• Extensive knowledge of the Gig Harbor real estate market
• A desire to drive home ownership in our communities
• A glass half full approach to life in general
• Embrace CW’s core value system of Integrity, Teamwork, Community, Expertise, and Gratitude

What you should expect from CW Title & Escrow:

We are a large (250+ team members, 19 locations), but privately held company. We will provide you with training and growth opportunities, but we will never treat you like a number. We remember birthdays and want to know about your dog. Our company believes that successful businesses should give back and serve the local communities, so we continue to drive our CW Cares effort to better serve those in need. Our company has a “best idea wins" philosophy. If you have a great idea our senior leadership team wants to know about it. Our people drive our change. We believe in equality for all. Everyone is welcomed and valued at our company. That pertains to employees, clients, vendors, partners, etc.

Additional benefits include:

• Competitive compensation
• Medical, Dental and Vision coverage – individual and family plans
• 401k plan, plus matching
• FSA or HSA
• Paid time off and parental leave policy

We offer a competitive total rewards package for this leadership role that includes base salary (annualized range from $100,000-$175,000 (including bonuses) depending upon job-related knowledge, skills, and experience), and monthly incentive based on the gross revenue driven via closed transactions in Gig Harbor Office. There is no cap on the incentive structure for this role. We believe in generously rewarding top performers.

Travel Requirements: Some travel within the Gig Harbor area may be required

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Escrow: 2 years (Preferred)

License/Certification:

• Driver's License (Required)
• Work Location: In person

Doctor of Medicine | Emergency Medicine

Location: Two Harbors, MN

Employer: CompHealth

Pay: Competitive weekly pay (inquire for details)

Shift Information: 3 days x 12 hours

Start Date: ASAP

LocumJobsOnline is working with CompHealth to find a qualified Emergency Medicine MD in Two Harbors, Minnesota, 55616!

CompHealth services are always free to you. Let us do the heavy lifting and handle the headache of credentialing, travel, housing, and so much more. With the premier staffing agency as your champion, you can achieve more success with less worry. No other agency has our capabilities and scale, which allows us to deliver on the details that matter to you.

• 5-10 shifts per month with 12-hour and 24-hour options available
• 12-hour shifts 7am - 7pm or 7pm - 7am, 24-hour shifts available
• Annual volume of 3,000 patients
• Hospital setting requiring privileges
• Rounding required as part of duties
• No APP support available
• We negotiate better pay and deposit it weekly
• We arrange complimentary housing and travel and comprehensive malpractice coverage
• We simplify the credentialing and privileging process
• Access to online portal for assignment details and time entry
• Your specialized recruiter takes care of every detail

About CompHealth

CompHealth is one of the largest healthcare staffing companies in the United States offering permanent, locum tenens, travel and other placements for healthcare providers. Our company dates back to 1979, when two physicians created the locum tenens industry as a way to meet the needs of rural hospitals in desperate need of healthcare professionals. In the years since, we’ve placed providers in hundreds of specialties in temporary and permanent jobs in both rural and urban settings all over the country, serving millions of patients. 

Though every temporary or permanent position is different, our goal is always the same: To match the right job with the right provider. We do that by getting to know you and what’s most important to you. And with more than 1,000 specialized recruiters and in-house licensing, credentialing, travel, and legal teams, we can take care of all the details, whatever the position.

Getting to know you ties back to our belief in putting people first. This includes our healthcare providers, our clients, and our employees. This people-centric culture has been recognized by various award programs, including Staffing Industry Analyst's "Best Staffing Firms to Work For", Modern Healthcare's "Best Places to Work", and Inavero's "Best of Staffing".

To learn more, visit

1683444EXPPLAT

Senior Applied AI Engineer (End-to-End ML)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

Nurse Practitioner | Family Practice

Location: Grays Harbor County, WA

Employer: Opportunity Healthcare

Pay: $140,000 to $185,000 per year

Shift Information: Days - 5 days

Start Date: ASAP

LocumJobsOnline is working with Opportunity Healthcare to find a qualified Family Practice NP in Grays Harbor County, Washington, 98550!

Family Nurse Practitioner job in Grays Harbor County, WA — offering up to $185,000 for an NP position at a local facility. If you're looking for a Family Nurse Practitioner job in Grays Harbor County, this full-time role offers competitive pay, incentives, and dedicated support from Opportunity Healthcare, a leading Advanced Practice agency.

Whether you're a Family Nurse Practitioner relocating to Washington or searching for "Family Nurse Practitioner jobs near me," this opportunity could be the perfect fit. Located in Grays Harbor County, this Family Nurse Practitioner job is accessible for providers based nearby.

Don't miss out — 'Quick Apply' now to start the application process and connect with an Opportunity Healthcare recruiter who can match you with this job and additional Family Nurse Practitioner jobs across Washington.

• Pay: $140,000-185,000/Yr
• FNP Job Incentives: Up to $10,000 in relocation
• Specialty: Family Practice, FNP
• Location: Grays Harbor County, WA 98520
• FNP Schedule: Full time
• Shift Time: 8 hours
• Duration: Permanent
• Job #: 25-01017
• Additional Details: NP to work in in Primary Care
  Outpatient Clinic
  Substance Use Disorder experience would be a plus
  Must be open to patients who miss their appointment time but still show up at some point during the day.
  NP will be working with patients who are prescribed Methadone, Suboxone, Vivitrol, and Sublicade
  Not all patients are on these prescriptions
  Typically Monday - Friday
  6AM - 2:15PM
  (May be willing to discuss 4/10's)
  

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• Specialty-focused recruiters
  
• Dedicated credentialing & onboarding team
  
• Dedicated travel & housing assistance
  
• Malpractice Insurance, including tail insurance for assignments
  
• Licensing support
  
• $750 Referral bonus
  

Opportunity Healthcare is a trusted leader in Nurse Practitioner jobs, connecting talented NPs with full-time NP jobs tailored to their unique skills and career aspirations. With over 50 years of expertise in Advanced Provider staffing, we specialize in helping Nurse Practitioners find rewarding Nurse Practitioner jobs across a variety of specialties and locations. Our nationwide network ensures that NPs searching for NP jobs near me can find roles that align with their career goals. Whether you’re seeking career stability, opportunities for growth, or New grad NP jobs, we provide a seamless experience, from personalized job matching to credentialing and onboarding. Choose Opportunity Healthcare for Nurse Practitioner jobs that empower you to thrive and make a meaningful impact.

About Opportunity Healthcare

Opportunity Healthcare is a leading locum tenens agency & Advanced Practice provider, offering nationwide staffing for both staff & locum tenens jobs. We specialize in Nurse Practitioner (NP), Physician Assistant (PA), CRNA jobs. With our team’s dedication & specialized experience in Advanced Practice Nurses, we provide a single point of contact, expedited services, & focused approach to meeting the needs of our providers. Our service philosophy isn’t driven by volume, deadlines, or sales metrics; it’s centered on people, their professions, and enhancing the lives of our nurses & the patients they serve.

1651589EXPPLAT

Position: HVAC Service Technician

Location: St. Joseph/Benton Harbor, MI

Since 1919, Egan has been the mechanical contractor that West Michigan construction managers and building owners depend on for the highest quality work.

Egan is dedicated to hiring individuals who understand the importance of safety, instill integrity in all aspects of their lives, are passionate about what they do and are committed to providing value to our customers.

We are looking for a HVAC Service Technician to work with our HVAC customers in and around the St. Joe/Benton Harbor area. If you are looking for an exciting opportunity to join a growing team of dedicated project managers and engineers, we’re interested in meeting you.

Duties:

·        Manage the requisition of supplies and materials to complete projects.

·        Keeps customer informed on the nature of service provided, outstanding issues and recommends system enhancements, upgrades, and/or repairs.

·        Troubleshoot HVAC equipment, systems, controls, and refrigeration.

·        Performs equipment startups, warranty repairs, service repairs, scheduled maintenance, and offers sale support to customers.

·        Perform preventive maintenance and seasonal check-ups

·        Diagnose and repair commercial HVAC systems

·        Support equipment installations

Skills & Experience:

·        Knowledge and understanding of HVAC industry applications,

·        Ability to read and understand MEP drawings and specifications

·        Understands the sequence of operations of equipment and systems.

Requirements:

·        Previous experience in HVAC service.

·        Punctual, courteous, organized and customer service oriented.

·        Strong troubleshooting and critical thinking skills.

·        Excellent written and verbal communication skills.

·        Able to keep accurate and legible daily records.

·        Must have a valid Michigan Driver's license – minimal violations.

·        Ability to handle physical workload.

·        Ability to work alone and in a team environment.

·        Travel to the customer site will be required.

·        Superior organizational and planning skills

·        Strong problem-solving and analytical skills.

Schedule:

·        Monday – Friday, Day Shift

·        8 Hours/Day

Benefits:

·        Wage Range: $35-$45/hr., with full benefits

Location:

·        Ability to commute.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

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• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
  
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
  
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
  
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
  
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
  
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
  
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
  
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end‑to‑end AI platforms and solutions.
  
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI‑enabled business transformation.
  
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
  
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
  
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
  
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
  

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

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• Strong analytical and decision‑making skills to develop solutions to complex problems.
  
• Proven experience in managing client relationships and leading teams.
  
• Ability to communicate effectively and influence stakeholders at all levels.
  

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• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
  
• 10+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
  
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
  
• Typically, no less than 5 — 7 years of relevant experience.
  
• Strong expertise in AI Platforms and Tools.
  
• Proficiency in Data Architecture Design and Modelling.
  
• Experience in Digital Transformation and IT Effectiveness Assessment.
  
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
  
• Ability to build and manage relationships effectively.
  
• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
  
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
  
• Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
  
• Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
  
• Proficiency in Python and tools like Pandas, PyTorch, Scikit‑learn, Spark, SQL.
  
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
  
• Strong client‑facing skills with the ability to articulate technical topics to business executives.
  

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• Experience in managing change and leading teams.
  
• Strong negotiation and influencing skills.
  
• Familiarity with sector knowledge and commercial acumen.
  
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
  
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
  
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
  
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
  
• Exposure to agile delivery models and design thinking approaches.
  

We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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  We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  
  
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  Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  
  
  
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  Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

  
  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

•    Define and maintain organizational AI standards, policies, and governance frameworks.

•    Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

•    Enable responsible use of generative AI across administrative and operational functions.

•    Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

•    Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

•    Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

•    Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

•    Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

•    Build business cases and recommendations for future AI investments.

•    Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

•    Monitor regulatory, ethical, and industry developments related to AI.

•    Help establish and mature a scalable AI enablement and governance operating model.

•    Influence adoption and consistency without direct authority.

•    Perform other duties as assigned.

JOB SPECIFICATION:

•    6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

•    Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

•    Experience with vendor management, solution selection, or hands-on implementation required.

•    Demonstrated experience defining standards, policies, or enterprise enablement programs.

•    Healthcare or other regulated industry experience strongly preferred.

•    Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

•    Ability to translate complex concepts into practical organizational guidance.

•    Experience developing business cases and value narratives for technology investments.

•    Executive-level communication and facilitation skills.

•    Proven ability to operate independently and influence across the enterprise.

•    Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 13 Yearly Salary

PI71b2d5685c13-3631

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Job Summary:

AI is becoming foundational to how iHerb operates globally — from personalization and customer experience to supply chain optimization and fulfillment automation.

We are creating the Head of AI Enablement to ensure AI becomes a sustained, measurable capability across the enterprise — not isolated pilots or one-off tools, but deeply integrated systems that improve how we serve customers in 180+ countries.

*This is not a research role. It is a delivery role.

Job Expectations:

Strategy & Vision

• Define and own iHerb's AI enablement roadmap, aligned with company OKRs and long-term growth strategy.
• Partner with the CTO and senior leadership to embed AI into iHerb's operating model, from supply chain and logistics to personalization and customer service.
• Evaluate and recommend AI tools, platforms, and vendor partnerships across the organization.
• Stay ahead of the AI landscape — identifying emerging technologies, risks, and opportunities relevant to global e-commerce and health & wellness.

Enablement & Adoption

• Build and lead an AI Enablement function that equips teams across iHerb to effectively use AI in their daily workflows.
• Design and roll out AI literacy programs, training curricula, and internal communities of practice for both technical and non-technical staff.
• Establish a Center of Excellence (CoE) for AI, creating standards, best practices, governance frameworks, and playbooks for responsible AI deployment.
• Champion the adoption of AI tools — including generative AI, predictive analytics, and automation — across Marketing, Merchandising, Customer Service, Finance, and Operations.

Execution & Delivery

• Identify and prioritize high-value AI use cases with measurable ROI across business units.
• Partner with engineering and data science teams to move AI initiatives from proof-of-concept to production at scale.
• Define and track KPIs to measure AI adoption, productivity gains, and business impact across the organization.
• Manage a portfolio of AI enablement projects, balancing speed with quality and governance.

Governance & Responsible AI

• Develop and enforce policies around responsible AI use, including data privacy, bias mitigation, and regulatory compliance aligned with GDPR and global standards.
• Ensure AI systems across iHerb are explainable, auditable, and aligned with iHerb's values.

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills and Abilities:

Required:

• Proven track record of driving AI or digital transformation at scale.
• Strong understanding of LLMs, generative AI, recommendation systems, NLP, and predictive analytics.
• Experience influencing cross-functional stakeholders and executive leadership.
• Ability to translate complex AI concepts into clear business impact.
• High degree of accuracy and attention to detail
• Excellent organization skills and ability to multi-task

Equipment Knowledge:

• Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
• Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Experience Requirements:

Generally requires a minimum of 10+ years experience in technology, data, or product leadership roles and 3-5+ years leading AI/ML strategy, deployment, or enterprise enablement initiatives.

Education Requirements:

Bachelor’s Degree in Business or related field preferred, or a combination of education and equivalent work experience.

Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner.

Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment: The noise in the work environment is usually moderate. Other factors are:

• Hectic, fast-paced with multi-level distractions
• Professional, yet casual work environment
• Office / Warehouse environment
• Ability to work extended hours as required

AI Business Analyst

Department: IT

Reporting To: SVP, Technology & Digital Innovation

Location (On-Site): New York, NY - Fashion District

About G-III Apparel Group, Ltd. | Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.

Position Summary

The AI Business Analyst will play a critical role in advancing G-III’s enterprise AI strategy by evaluating emerging AI technologies, identifying high-value business use cases, managing vendor assessments, and driving adoption across brands and functions. This position bridges technology and business operations—helping teams understand, pilot, scale, and operationalize AI capabilities that improve productivity, creativity, and decision-making.

In addition to third-party AI tools, this role will support the change management and adoption of internally developed AI solutions and models, ensuring new capabilities are introduced in a structured, well-communicated, and measurable manner.

This role will also be responsible for developing training materials, documenting best practices, creating video tutorials, and maintaining the AI Center of Excellence (AI CoE) SharePoint site as the central hub for AI knowledge, tools, governance standards, and success stories.

Key Responsibilities

AI Discovery & Assessment

• Evaluate AI tools, platforms, and vendors for business fit, ROI potential, data security, and scalability.
• Partner with functional leaders to identify, prioritize, and document AI use cases across merchandising, marketing, ecommerce, customer care, design, and operations.
• Develop value models and pilot plans to quantify business impact and organizational readiness for scale.

Pilot Execution & Measurement

• Design and oversee proof-of-value (POV) pilots with defined success criteria, control groups, and KPIs.
• Track adoption, productivity gains, time savings, and qualitative feedback to determine scalability and readiness.
• Present business cases, pilot outcomes, and recommendations to leadership and the AI CoE Steering Committee.

Change Management & Adoption

• Lead structured change management efforts for third-party AI tools and internally developed AI models and capabilities.
• Develop rollout plans including stakeholder mapping, communication strategies, training programs, and post-launch reinforcement.
• Partner cross-functionally with Business, IT, Legal, and HR teams to manage organizational readiness, role impacts, and process changes introduced by AI.
• Capture end-user feedback and operational learnings to inform iterative enhancements and future AI releases.

Training & Enablement

• Create training materials including written documentation, SOPs, and short-form instructional videos using tools such as Synthesia, Guidde, or similar platforms.
• Deliver live and recorded training sessions to cross-functional teams and AI Champion groups.
• Maintain and continuously enhance the AI CoE SharePoint site by organizing learning content, use cases, FAQs, governance documentation, and vendor updates.

Governance & Best Practices

• Ensure responsible AI adoption aligned with legal, privacy, data security, and brand standards.
• Document AI usage guidelines, data handling policies, governance frameworks, and onboarding checklists.
• Serve as an internal ambassador for AI literacy, ethical adoption, and best practices across the organization.

Reporting & Continuous Improvement

• Establish and track performance metrics including adoption rates, productivity gains, cost savings, and quality improvements.
• Publish dashboards and executive-ready performance summaries for leadership review.
• Stay current on enterprise AI developments, emerging tools, and internal platform enhancements to inform roadmap recommendations.

Qualifications

Required

• 4–7 years of professional experience in business analysis, enablement, product operations, or digital transformation, preferably within retail, apparel, or ecommerce.
• Hands-on experience using AI tools including ChatGPT Enterprise, Microsoft 365 Copilot, Synthesia, Guidde, or similar platforms.
• Strong analytical skills including ROI modeling, time-savings estimation, and pilot performance measurement.
• Experience creating training content (written and video) and managing enterprise enablement platforms such as SharePoint.
• Excellent written and verbal communication skills with the ability to translate technical capabilities into clear business value.

Preferred

• Familiarity with Shopify ecommerce platforms and PIM/DAM systems such as Salsify or Aprimo.
• Experience with enterprise collaboration tools including Microsoft Teams, Power BI, and Microsoft 365.
• Basic understanding of prompt engineering, generative AI limitations, and responsible AI frameworks.
• Experience working within multi-brand or multi-region organizations.
• Certifications in Microsoft 365 Copilot Service Adoption, Prosci Change Management, or AI Product Enablement preferred.

Core Competencies

• Business Impact Orientation: Drives measurable outcomes and quantifies value creation.
• Change Leadership: Leads structured adoption efforts across brands and departments.
• Structured Thinking: Translates complex technology into actionable business processes.
• Collaboration: Builds strong relationships with internal stakeholders and external partners.
• Communication Excellence: Produces clear, engaging materials for technical and non-technical audiences.
• Adaptability: Remains current with emerging AI technologies and evolving enterprise priorities.

What We Offer

• Competitive base salary and performance-based incentives
• Comprehensive medical, dental, and vision benefits
• 401(k) with company match
• Paid time off, holidays, and company-sponsored wellness benefits
• Employee discounts across G-III brands
• A collaborative, entrepreneurial work environment with career growth opportunities

Compensation

Salary Range: $105,000 – $125,000 base (commensurate with experience)

Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.

G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.