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At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.
Position Overview
The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.
This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.
Essential Duties
Include, but are not limited to, the following:
- Support implementation of enterprise standards for AI safety, transparency, and reliability.
- Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
- Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
- Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
- Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
- Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
- Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
- Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
- Support and comply with the company’s Quality Management System policies and procedures.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 8 years of experience in software, ML systems, or platform engineering.
- Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
- Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
- Experience developing scalable and compliant ML systems and tools.
- Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.
Preferred Qualifications
- Master’s degree in Computer Science, Data Engineering, or AI.
- Experience implementing AI assurance, observability, or risk management frameworks.
- Knowledge of GenAI, LLM evaluation, and prompt safety practices.
- Familiarity with FDA, HIPAA, or GxP compliance standards.
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Salary Range:
$184,000.00- $276,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.
At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
ESSENTIAL DUTIES AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
- Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
- Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
- Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
- Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
- Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
- Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
- Mentor and upskill existing developers on AI concepts, patterns, and best practices.
Required Skills & Experience
- 5+ year of full stack development experience.
- Strong software engineering background with experience building production-grade applications.
- Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Practical experience building RAG pipelines using vector databases and embedding models.
- Experience with prompt engineering, prompt versioning, and evaluation techniques.
- Solid Python experience for AI development.
- Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
- Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
- Understanding of data formats such as JSON, XML, and document-based data.
- Ability to translate business problems into AI-driven technical solutions.
Preferred Qualifications
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
- Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
- Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
- Exposure to video or image models and multimodal AI use cases.
- Experience working in enterprise environments with security, compliance, and change management considerations.
- Prior experience mentoring or leading developers in new technical domains.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Sr. Engineering Manager, AI/ML Serving Platform
The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).
Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:
- Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
- Production GenAI & LLM model inference stack for emerging use cases.
- Model routing, deployment, monitoring. Kubernetes-based provisioning.
- Feature fetching, caching, and logging
What you'll do
- Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
- Set technical direction for the team based on company and org priorities
- Coach and develop talent on the team.
What we're looking for:
- Experience managing platform engineering teams with many cross-organizational customers
- Experience leading the development of large-scale distributed serving systems
- Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
- Bachelor's degree in Computer Science, a related field or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$208,592—$429,454 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Role: Principal AI Solution Architect
Location: Houston, TX, 77086 - Onsite
Duration: Long term Contract
Job Description:
Key Responsibilities:
- Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
- Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
- Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
- Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
- Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
- Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
- Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skills:
- Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
- Hands on experience deploying and operating ML pipelines using Azure Machine Learning
- Proficiency in Python and modern software engineering practices
- Experience with automation and configuration management, including Ansible
- Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills:
- Experience with Microsoft Foundry
- Experience implementing or operating agentic AI systems
- Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
- Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements:
- 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
- Proven experience delivering production AI or ML solutions in a cloud environment
- Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Working:
- Ability to work independently as a contractor while integrating effectively with existing teams
- Strong communication skills, with the ability to explain complex technical concepts clearly
- Results oriented mindset with a focus on delivering business value quickly and reliably.
Purpose
As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.
This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.
You’ll Be Successful With
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
- 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
- Proven track record of moving models from development into production which deliver measurable impact to the business.
- Expert proficiency in Python and SQL. Comfortable with version control.
- Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
- Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
- Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
- You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
- The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
- Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
- Strong intellectual curiosity with a bias toward action and continuous improvement.
- Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.
Your Day Consists Of
- Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
- Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
- Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
- Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
- Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
- Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
- Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
- Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
- Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
- Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
- Be compliant with all appropriate privacy and security protocols.
Working Conditions (travel, hours, environment)
- Limited travel required including air and car travel
- While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.
Physical/Sensory Requirements
Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.
Benefits & Rewards
- Bonus opportunities at every level
- Non-traditional retail hours (we close at 7p!)
- Career advancement opportunities
- Relocation opportunities across the country
- 401k with discretionary company match
- Employee Stock Purchase Plan
- Referral Bonus Program
- 80 hrs. annualized paid vacation (full-time associates)
- 4 paid holidays per year (full-time hourly store associates only)
- 1 paid personal holiday of associate’s choice and Volunteer Time Off program
- Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)
Equal Employment Opportunity
Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.
This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.
We are looking for a Generative AI Lead to drive the design and delivery of advanced AI solutions for enterprise clients.
This role sits at the intersection of hands-on engineering, system architecture, and technical leadership, focused on building production-grade GenAI systems that solve complex, real-world business problems.
What You’ll Do
- Lead the design and development of enterprise-scale Generative AI solutions
- Architect and implement multi-agent AI systems and retrieval-augmented generation (RAG) pipelines
- Integrate LLM capabilities into business workflows and enterprise applications
- Partner with business stakeholders to translate complex problems into scalable AI solutions
- Guide and mentor engineering teams while maintaining a high bar for technical quality
- Ensure reliable deployment, monitoring, and performance of AI systems (including handling hallucinations, drift, and scaling challenges)
- Optimize infrastructure across cloud environments, including compute and GPU utilization
What We’re Looking For
- Proven experience building and deploying LLM-based / Generative AI applications in production
- Strong hands-on expertise in Python and modern AI frameworks (e.g., LangChain, LlamaIndex)
- Experience designing RAG pipelines, semantic search systems, or knowledge retrieval architectures
- Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI) or similar architectures
- Experience working in cloud environments (AWS, Azure, or GCP) and scaling AI systems
- Demonstrated ability to lead technical teams or initiatives
- Strong communication skills with the ability to collaborate with both technical and business stakeholders
Nice to Have
- Experience working in regulated industries (e.g., healthcare, life sciences, financial services)
- Familiarity with vector databases (e.g., Pinecone, Weaviate)
- Background in enterprise AI platform development or data infrastructure
Why This Role
- Opportunity to build real-world GenAI systems at scale (not just prototypes)
- Own end-to-end architecture and delivery, from concept to production
- Work on high-impact use cases across enterprise clients
- Collaborate with cross-functional teams across engineering, product, and business
About MathCo
MathCo is a global Enterprise AI and Analytics company helping Fortune 500 organizations solve complex business problems through data and AI. Our work spans advanced analytics, AI platforms, and scalable solutions that deliver measurable business impact.
Overview
Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.
This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.
Why this role?
This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.
You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.
Key Responsibilities
- Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
- Draft and negotiate vendor, supplier, and outsourcing agreements.
- Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
- Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
- Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
- Negotiate AI system licenses and content licenses for AI model training.
- Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.
Top Requirements
- 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
- Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
- Experience negotiating complex IP, data access, and licensing arrangements.
- Background advising fintech, financial institutions, or digital asset clients.
- Exceptional drafting, negotiation, and communication skills.
- Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
- JD and admission to practice in the relevant jurisdiction.
Preferred Experience
- Experience negotiating AI system and AI training content licenses.
- Familiarity with advertising and marketing law as applied to technology companies.
- Experience advising on IP aspects of M&A and related transactions.
- Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.
Compensation
- $225,000 – $330,000 base salary, depending on experience.
- Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).
TL;DR
Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.
About Whistler Partners
Matchmakers, Not Headhunters
Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.
We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.
Senior Applied AI Scientist
Fully Remote - HQ in New York, New York
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
- You will report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Senior Applied AI Scientist will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal
The role focuses on supporting, stabilizing, and enhancing automation and AI-driven processes in production environments.
You will work closely with development, business, and infrastructure teams to ensure high availability, reliability, and continuous improvement of automation solutions.
Job Description Experience: 3–5 Years Daily Responsibilities: RPA & Agentic AI Support (Primary Focus) Provide L2/L3 production support for UiPath bots and Agentic AI-driven workflows Support Document Understanding pipelines (classification, extraction, validation issues) Monitor bot and agent execution, identify failures, and perform root cause analysis (RCA) Troubleshoot queue failures, bot breakdowns, credential issues, and orchestration failures Assist in maintaining AI decision flows, agent handoffs, and execution consistency Development & Enhancement Design and enhance automation workflows with robust exception handling and retry mechanisms Support end-to-end automation lifecycle (development, testing, deployment, production support) Implement improvements to increase bot/agent efficiency and reduce failure rates UiPath Platform Expertise Work extensively with: UiPath Orchestrator (Queues, Jobs, Triggers, Assets, Logs) Unattended bots (primary), with exposure to attended bots Debug and optimize automation workflows and production issues Support integrations with enterprise systems (e.g., SAP, AS400, web applications) Production Monitoring & Incident Management Monitor automation processes and ensure SLA compliance Handle incident management, problem management, and change requests Review logs, identify patterns, and implement preventive fixes Enhance alerting and monitoring mechanisms for proactive issue resolution Collaborate with Business Analysts, Developers, and Infra teams Participate in release planning and production deployment activities Maintain runbooks, SOPs, and knowledge base documentation Ensure adherence to governance and automation standards Basic Qualifications / Requirements 3–5 years of experience in RPA development and production support Strong hands-on experience with: UiPath (Orchestrator, workflows, debugging) UiPath Document Understanding Exposure to Agentic AI / AI-driven automation concepts Experience supporting production environments (incident, problem, change management) Knowledge of: SQL and relational databases API integrations and data handling Experience with SAP / AS400 integrations is a plus Familiarity with programming/scripting (VB.NET, Python, or similar) Strong analytical and troubleshooting skills Preferred / Nice-to-Have Skills Exposure to Microsoft ecosystem: Azure services Power BI / Power Platform Copilot / AI services Experience with: Azure Kubernetes Service (AKS) or containerized environments DevOps pipelines (CI/CD, release management) Knowledge of Enterprise Monitoring & Observability: Application Insights Azure Monitor Logging frameworks and alerting systems Understanding of: Agent frameworks and AI orchestration architectures Data platforms (e.g., Cosmos DB, ADLS, Fabric) Key Competencies Strong troubleshooting and debugging mindset Ability to work in Agile/Scrum environments Effective communication with technical and business teams Proactive approach to monitoring and issue prevention Ability to correlate technical failures with business impact Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $92,000.00
- $138,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
and scaling AI agents — across our customer segments via consulting (SI/GSI) and technology (ISV) partners.
You will work closely with partners to build AgentCore-powered solutions that leverage agent orchestration, memory, tool
integration, and identity management capabilities, positioning AWS as the choice for enterprise agentic AI workloads.
This role requires a unique blend of strategic thinking, technical depth in agentic AI architectures, and business development
acumen. You will help partners understand and capitalize on the AgentCore value proposition — including its managed runtime, built
-in agent-to-agent communication, and seamless integration with Bedrock (model access, Guardrails, Knowledge Bases).
The ideal candidate will have experience creating, communicating, and driving successful partnership strategies at scale, ideally
with a background in sales or business development within the AI/ML or cloud infrastructure space. You should possess a
demonstrated ability to think strategically about business, product, and technical challenges — particularly around emerging
agentic AI patterns — and leverage data to uncover opportunities for AgentCore adoption and partner-led revenue growth.
Key job responsibilities
* Lead the development and execution of AIML go-to-market strategies for partners
* Collaborate closely with Sales, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
* Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
* Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams
About the team
The AWS Data and AI Partner GTM team accelerates growth through our biggest bets and amplifying our most impactful partners. We focus on partners with the highest potential for impact, investing in key ISVs, systems integrators, and high-potential startups who can accelerate adoption of strategic AWS services and initiatives. Through technical leadership, partner channel experience, and go-to-market expertise, we create repeatable models that empower both our partners and AWS field teams to accelerate service adoption and deliver customer outcomes.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 6+ years of developing, negotiating and executing business agreements experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience managing joint GTM success with technology partners, including development and tracking of joint sell-with and sell-through business activities
- Familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings- Experience interpreting data and making business recommendations
- Familiarity with agentic AI frameworks and patterns (e.g., multi-agent orchestration, tool-use, RAG, memory/state management)
- Working knowledge of AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
- Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , CA, Mountain View - 162,7 ,200.00 USD annually
USA, CA, San Francisco - 162,7 ,200.00 USD annually
USA, NY, New York - 162,7 ,200.00 USD annually
USA, WA, Seattle - 147,9 ,100.00 USD annually
