Gpt Models Api Jobs in Usa

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.

This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.

About the Role

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.

Responsibilities

• Manage all technical aspects of product through product lifecycle
• Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
• Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
• Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
• Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
• Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
• Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
• Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
• Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
• Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
• Break down a medium to complex vision into smaller projects, initiatives or features

Qualifications

Skills: Must-Have

• Product strategy & prioritization
• Data platform fundamentals
• ML literacy
• Stakeholder communication
• Designing for expert users without alienating new ones
• Clear documentation and onboarding flows
• Understanding user workflows—not just APIs

Strong Differentiators

• MLOps understanding
• Experimentation and metrics fluency
• Responsible AI leadership
• Platform UX thinking
• Stakeholder Management

Required Skills

• Align business leaders, engineers, data scientists, legal/compliance, and ops
• Translate technical constraints into business-relevant language
• Manage expectations around ML uncertainty and iteration

Preferred Skills

• Data Concepts You Should Be Fluent In
• Data types: structured, semi-structured, unstructured
• Data pipelines (batch vs. streaming)
• Data quality dimensions: accuracy, completeness, timeliness
• Data lineage and observability
• Metadata, schemas, and versioning
• Platform Thinking
• APIs, SDKs, and self-service capabilities
• Multi-tenant vs. single-tenant design
• Performance, scalability, and cost tradeoffs
• Internal vs. external (customer-facing) platforms
• Machine Learning Fundamentals Every PM Should Know
• Supervised vs. unsupervised learning
• Training vs. inference
• Features, labels, and training data
• Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
• Overfitting vs. generalization
• ML Product Realities
• ML outputs are probabilistic, not deterministic
• Model performance degrades over time (data drift, concept drift)
• Improving models often requires better data, not better algorithms
• ML development is experimental and iterative
• Areas that must be understood
• Model training pipelines
• Model deployment patterns (batch, real-time, edge)
• Model monitoring and retraining
• Versioning of models and data
• Rollbacks and experimentation (A/B tests, canary releases)

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.

Role Title: MuleSoft Developer

Location: only local of Boston, MA

Duration: 12 Months Contract (highest possible ext)

Role Description:

Role Title Required Skills

• 3+ years of building integrations using Mule 4 and DataWeave 2.0

• Design and delivery of API-led connectivity

• Experience with Anypoint Studio, Exchange, API Manager, and Anypoint Monitoring

• API Specifications using RAML/OAS (OpenAPI)

• Production deployment experience on CloudHub 2.0 and MuleSoft Runtime Fabric (RTF)

• Experience with containerized Mule applications, runtime properties, scaling, and deployment promotion patterns

• Ability to translate requirements into technical designs, interface contracts, and implementation plans Preferred Skills

• Experience with AWS networking patterns and cloud security guardrails

• Experience integrating with AWS services

• Experience with Kubernetes tooling (Helm, kubectl, ingress controllers, service mesh concepts)

• Automated testing with MUnit

• API governance (naming/versioning standards, policy enforcement, etc.)

Responsibilities

• Design, build, and maintain MuleSoft integrations and APIs using Mule 4 and DataWeave, aligned to API-led connectivity

• Develop APIs and flows that meet non-functional requirements (e.g., performance, security)

• Deploy and support applications on CloudHub 2.0 and RTF, including configuration management, scaling, and troubleshooting

• Partner with cloud/platform teams to ensure deployments align with AWS and EKS standards (networking, security, monitoring, and operations)

• Implement CI/CD pipelines and release processes to promote builds across environments with traceability and quality gates

• Establish and enforce integration best practices: error handling, logging/correlation, retries, circuit breakers, and API policies

• Perform root-cause analysis of incidents; create runbooks, dashboards, and alerts to improve operational excellence

Expected Deliverable(s) Technical Design Documentation; Code

ABOUT COOPERATIVE LA

Cooperative LA is disrupting the construction management space and growing rapidly — taking on some of the region’s most meaningful civic, cultural, institutional, and development projects ranging from $5m to $2b in value. As a young, diverse, technology-driven and forward-thinking team, we’re redefining what owner representation can be: more rigorous, more creative, more technically-focused, and more impactful.

We’re committed to building a truly exceptional group of professionals who share our values and approach:

Project First — putting communication, clarity, and forward progress above ego.

Progress, Always — staying curious, learning relentlessly, and improving how we work every day.

People Focused — building trust, fairness, and strong partnerships across the entire project team.

Prosperity Throughout — aligning financial success for clients, partners, and our team, so everyone moves forward together.

As we expand quickly, we’re looking for the industry’s top emerging talent — entrepreneurial construction professionals who want to help shape a growing company, elevate the standard of our profession, quantify their impact and help shape the future of owner representation in Los Angeles. We are most interested in self-motivated candidates who understand the importance of urgency, efficiency, time management and prioritization to meet challenging goals.

ROLE DESCRIPTION

We are seeking a Project Manager with 6–10 years of experience who brings deep technical understanding, strong team leadership, and the ability to guide complex projects from early design through construction. General Contractor or Architect experience is preferred.

With oversight and training from a Project Executive or President, the Project Manager will oversee and coordinate all aspects of challenging construction projects, including planning, scheduling, budgeting and managing resources to ensure successful project completion and satisfied clients. The projects include multifamily (including modular), sports arenas, historic, public-private partnerships, utility infrastructure, hospitality, industrial and more.

This is a full-time, on-site role based in Los Angeles, CA with offices located in Pasadena and Culver City. Projects are located throughout Los Angeles County.

The team is currently working 2-3 days per week in the office and 2-3 days per week from home or project sites.

RESPONSIBILITIES

True Builder

• Manage medium-to-large projects across design, permitting, bidding, contracting and construction.
• Quickly identify interdisciplinary conflicts in drawings and consultant deliverables.
• Oversee schedule reviews, delay/acceleration planning, and change-order negotiations.
• Apply lessons learned and constructability knowledge to guide team decisions.
• Maintain strong technical fluency across trades and building systems.
• Share construction lessons learned with teammates in monthly staff meeting presentations.
• Mentor teammates on specific trade expertise to elevate the company’s overall technical ability.

Team Leadership

• Assume responsibility for project and team success, including that of external partners.
• Lead multidisciplinary consultant and contractor teams with clarity, accountability and a Project First mindset.
• Create and update project schedules, permit logs, utility matrices, issues list and any other tools to surface critical issues and focus the team on priorities. 
• Build strong relationships with clients, public agencies, and project partners.
• Navigate and resolve inter-consultant conflicts swiftly and diplomatically.
• Push teams toward best practices and elevate the performance of the entire project ecosystem.
• Mentor Assistant Project Managers and support their career development.
• Represent Cooperative LA with professionalism, authority, and reliability.

Meeting Leadership

• Lead structured, efficient meetings that produce decisions, commitments, and forward motion.
• Properly prepare for meetings and guide discussions toward resolution in meeting or by specific due dates.
• Capture and distribute meeting notes within 24 hours that are accurate, action-oriented, and governed by due dates.
• Push for clear deadlines informed by project targets and ensure follow-through across all participants.
• Create spin-off coordination sessions when technical issues require deeper focus.

Quality Deliverables

• Produce and oversee high-quality schedules, budgets, reports, logs, risk trackers, and other project documentation.
• Tailor deliverables to meet client needs while maintaining firm-wide standards.
• Provide detailed feedback and quality control on APM deliverables.
• Develop improved tools, templates, GPTs or processes when existing ones aren’t sufficient.
• Ensure all reporting surfaces risks and drives timely decision-making.

Integrity

• Serve as a trusted advisor to clients and a stabilizing force for the team.
• Communicate difficult truths with diplomacy and professionalism.
• Hold yourself and others to high ethical standards.
• Practice authenticity and courage with sharing ideas, stating limitations and flagging concerns.
• Diligently and urgently protect the client’s budget and schedule as if it was your money.
• Demonstrate humility, fairness, and accountability, especially under pressure.
• Model Cooperative LA’s values in every interaction.

 Technologies

• We use Smartsheet, OpenAI, Bluebeam, Procore, Primavera, EOS, Pipedrive, Microsoft Suite and more.
• Those with a curiosity around new technologies and finding better ways to work do exceptionally well here.

What We’re Looking For

• 6–10 years of experience in development, construction management, architecture, engineering, or similar fields. General Contractor or Architect experience is preferred.
• Strong technical expertise across major trades and building systems.
• Proven ability to lead interdisciplinary teams and manage complex workflows.
• Excellent communication, meeting leadership, and conflict-resolution skills.
• Ability to mentor junior staff, organize large efforts, and deliver high-quality work under tight timelines.
• Alignment with Cooperative LA’s values and commitment to excellence.
• Experience managing projects in Los Angeles is preferred.
• Ability to work three times a week at our main office in Pasadena.

Salary & Benefits

• The annual salary range for this role is $145,000 to $162,000.
• Annual performance based bonuses.
• Clarity and support for upward mobility using C.LA's Competency Ladders.
• Remote workdays 2 days a week.
• AI training and immersion.
• 6% 401k Employer Match.
• 100% medical coverage for employees on base plans.
• Profit Interest Units (PIUs) Program Eligibility.
• Flexible PTO Policy.
• Professional development allowances for ULI, AIA, etc.
• Weekly lunches and quarterly team building events.
• Beautiful offices in Pasadena and Culver City working alongside AEC & Development firms as co-tenants.

How to Apply

• If you’re interested in this role, email your resume or CV to with the subject line: “Project Manager — [Your Name]”

Job Title: Integration Strategy Architect Experience: 10+ years in enterprise application integration and strong expertise in Boomi Integration platform

Job Summary We are seeking an experienced Integration Strategy Architect with deep expertise in designing, assessing, and modernizing enterprise integration landscapes.

The ideal candidate will have 10+ years of hands-on experience integrating complex business applications using middleware platforms such as Boomi and other leading integration technologies.

This role requires strong architectural thinking, the ability to evaluate existing integrations, and the capability to recommend best practices, target-state architecture, and integration strategies aligned with business and IT goals.

Key Responsibilities • Define and own the enterprise integration strategy, architecture standards, and best practices • Develop and execute the Integration strategy in alignment with business objectives and IT strategy.

• Design and govern API-led, event driven, canonical data integration patterns and resilient integration solutions across ERP and surrounding enterprise systems.

• Lead integration architecture for ERP platform SAP S/4HANA and other applications like AD, UKG, Salesforce, ServiceNow, MES Systems like Camstar/OpCenter and other business applications.

• Leverage Boomi AI for intelligent mapping, transformation and integration acceleration and Identify opportunities for AI-driven design, documentation, monitoring insights and optimization.

• Analyze existing integration landscapes to: o Identify gaps, risks, redundancies, and performance issues o Recommend modernization, optimization, and rationalization strategies • Provide architectural guidance on: o Hybrid integration patterns and solutions during cloud migration phases.

o Design Boomi cloud deployment strategies, ensure high availability and disaster recovery • Establish integration governance including: o Design principles o Naming conventions o Error handling, logging, monitoring, and security standards • Collaborate with business stakeholders, enterprise architects, application teams, infrastructure teams and vendors to align integration solutions with business requirements • Mentor integration developers and technical teams on architecture standards and best practices • Support integration roadmap planning, estimation, and technical decision-making • Ensure integrations comply with security, compliance, and data privacy requirements Required Skills & Experience • 10+ years of experience in enterprise application integration • Strong hands-on and architectural experience with Boomi and at least one other major middleware platform • Proven experience integrating SAP S/4HANA with Salesforce, Web Services, API’s, UKG, MES, and other third-party applications • Strong Expertise in Boomi Atomsphere, Boomi Flows, API Management, Hybrid integration architectures (On Prem, Cloud).

• Expertise in Boomi integrations design, Error handling, Exception Frameworks and logging.

• Strong Knowledge of Atoms, Molecules, Atom clouds and deployment topologies and Proven ability to manage Environment Strategy and reuse the licenses.

• Deep understanding of: o Integration patterns (point-to-point, hub-and-spoke, ESB, API-led, eventdriven) o REST/SOAP APIs, messaging, file-based integrations, and EDI o API Security Patterns (OAUTH2, API Keys, JWT) • Experience assessing legacy integration environments and defining future-state architectures.

• Knowledge of regulatory and audit requirements (SOX, SOC- as applicable).

• Ability to translate business requirements into technical integration designs.

• Excellent documentation, communication, and stakeholder management skills.

• Experience working in large-scale, global enterprise environments.

Job Title: Salesforce Service Cloud Architect

Location: Parsippany, NJ

Interview: Video Interview

Description:

Define end-to-end Salesforce Service Cloud architecture, ensuring alignment with business goals and enterprise standards

Design scalable and modular solutions across Case Management, Omni-Channel, Knowledge Base, Live Agent, CTI, and Email-to-Case

Lead the design of data models, security models, and sharing architectures

Develop integration strategies using REST/SOAP APIs, Platform Events, and middleware tools like MuleSoft, Informatica, or Dell Boomi

Evaluate and recommend AppExchange products and third-party tools as part of the solution landscape

Create solution blueprints, sequence diagrams, and architecture documentation for development teams

Technical Leadership

Serve as the technical authority for Salesforce implementations, providing direction to developers, administrators, and functional consultants

Enforce governance standards, design patterns, and best practices across all Salesforce projects

Perform code reviews, solution assessments, and ensure compliance with Salesforce platform limits and security standards

Mentor development teams and guide them on Apex, LWC, Integration, and Performance Optimization

Stakeholder & Delivery Management

Collaborate with business analysts, project managers, and client stakeholders to translate requirements into robust technical designs

Participate in solution estimation, RFP responses, and pre-sales activities, providing architectural recommendations and effort sizing

Work with cross-functional teams (Infrastructure, Security, Data, and Integration) to ensure seamless end-to-end solution delivery

Support release planning, DevOps strategy, and CI/CD pipelines for Salesforce environments

Governance & Quality

Ensure compliance with Salesforce best practices, governor limits, and data security policies

Establish and maintain architecture governance frameworks, technical documentation, and design repositories

Lead performance reviews, scalability assessments, and security audits of Salesforce solutions

Basic Qualifications:

Minimum 10+ years of experience of Deep expertise in Apex, Lightning Web Components (LWC), SOQL/SOSL, REST/SOAP APIs

Minimum 8+ years of experience Strong understanding of Salesforce data model, security, and integration architecture

Minimum 10+ years of experience Hands-on experience designing and implementing Service Cloud, including Omni-Channel, CTI, Knowledge, and Case Management

Proven track record of leading large-scale enterprise implementations

Familiarity with DevOps tools (Copado, Jenkins, Git, Gearset) and CI/CD automation

Experience in Agile delivery frameworks and global delivery models

Excellent communication, presentation, and stakeholder management skills

Preferred Qualifications

Salesforce Certified Technical Architect (CTA) or actively pursuing CTA

Knowledge of Field Service Lightning (FSL), Einstein Bots, or Salesforce Industries (Vlocity)

Experience integrating Salesforce with legacy or cloud-based systems (AWS, Azure, SAP, etc.)

Familiarity with Agile at Scale (SAFe, LeSS) and multi-cloud Salesforce implementations

Personal Attributes

Strategic thinker with a strong problem-solving and analytical mindset

Excellent leadership and team collaboration abilities

High attention to detail and commitment to quality

Ability to manage multiple priorities and communicate effectively with both technical and business audiences

Salesforce Certifications (Mandatory):

Application Architect or System Architect

Platform Developer I & II

Service Cloud Consultant

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director, Quality Engineering. In this role, you’ll be a strategic and hands-on leader who will drive the transformation of quality across our technology organization. This leader will be responsible for building and scaling a modern Quality Engineering function that goes beyond traditional QA, with ownership spanning QA environments, test automation, AI-enabled quality practices, quality governance, best practices, and the establishment of a Quality Engineering Center of Excellence (COE).

The ideal candidate will bring a strong blend of leadership, technical depth, operating model design, and change management, with the ability to embed quality throughout the software development lifecycle. This role will partner closely with Engineering, Product, Architecture, Infrastructure, Security, and Delivery teams to create a scalable, efficient, and forward-looking quality strategy that supports speed, reliability, and business growth.

Key Responsibilities

Quality Engineering Strategy & Leadership

• Define and lead the enterprise Quality Engineering vision, strategy, and roadmap aligned to Valvoline’s broader technology and business priorities.
• Shift the organization from traditional testing approaches to a modern quality engineering model focused on prevention, automation, continuous validation, and measurable quality outcomes.
• Establish quality as a shared responsibility across product, engineering, and delivery teams while maintaining strong governance and standards.
• Lead, mentor, and grow a high-performing team of quality engineers, automation engineers, and QA leaders.

QA Center of Excellence (COE)

• Build and operationalize a Quality Engineering Center of Excellence (COE) to define frameworks, standards, tooling, reusable assets, and governance processes.
• Create enterprise-wide best practices for test design, automation, environment strategy, defect management, release readiness, and quality metrics.
• Standardize quality processes across portfolios while allowing for flexibility based on product and platform needs.
• Develop playbooks, templates, training, and maturity models to improve quality capability across teams.

Automation & Tooling

• Define and execute an enterprise test automation strategy across UI, API, integration, data, regression, performance, and end-to-end testing.
• Drive adoption of scalable automation frameworks and ensure integration with CI/CD pipelines and DevOps practices.
• Evaluate, select, and optimize quality tools and platforms to improve speed, coverage, traceability, and reporting.
• Increase automation efficiency and effectiveness by implementing reusable components, common libraries, and engineering best practices.

AI-Enabled Quality Engineering

• Lead the adoption of AI and intelligent automation within quality engineering, including opportunities such as:

test case generation

intelligent defect triage

predictive risk analysis

self-healing automation

release quality insights

test optimization and prioritization

• Assess emerging AI capabilities and define practical use cases that improve quality outcomes, team productivity, and speed to market.
• Partner with engineering and architecture leaders to ensure AI solutions are implemented responsibly, securely, and at scale.

QA Environments & Test Data Management

• Own the strategy for QA environments, including environment planning, availability, stability, governance, and optimization.
• Partner with infrastructure and platform teams to improve environment readiness, reduce bottlenecks, and support parallel delivery.
• Establish strong processes for test data management, environment provisioning, and integration dependency coordination.
• Drive improvements in environment monitoring and readiness reporting to reduce delays and improve release confidence.

Governance, Metrics & Best Practices

• Define and implement quality KPIs, SLAs, dashboards, and scorecards to provide visibility into quality performance, automation maturity, defect trends, release risk, and environment health.
• Set standards for quality gates, entry/exit criteria, defect leakage reduction, root cause analysis, and continuous improvement.
• Build a culture of measurable quality and operational discipline through governance routines, audits, and executive reporting.
• Ensure best practices are embedded into agile delivery, DevSecOps, and release management processes.

Sourcing & Vendor Management

• Define the sourcing strategy for quality engineering capabilities, including the right balance of internal talent, strategic partners, and offshore/onshore vendor models.
• Lead vendor evaluation, selection, governance, and performance management related to quality engineering and testing services.
• Optimize spend, capability, and service quality across external partners while ensuring alignment to Valvoline standards and delivery expectations.
• Build workforce strategies that support both immediate delivery needs and long-term capability development.

Cross-Functional Partnership

• Partner with Product, Engineering, Infrastructure, Security, Architecture, and PMO leaders to embed quality into planning, design, development, and release processes.
• Influence senior stakeholders on quality investments, transformation priorities, and operating model improvements.
• Support mission-critical initiatives by ensuring strong quality planning, risk management, and execution.

What You’ll Need to Succeed

Qualifications

• 10+ years in software quality engineering
• 5+ years leading enterprise QA teams
• Experience in high-volume retail, omnichannel, or consumer-facing environments strongly preferred
• Deep experience with:

Automation frameworks (Selenium, Cypress, Playwright, etc.)

API testing tools

CI/CD tools

Performance testing tools (JMeter, LoadRunner, etc.)

• Experience leading QA in Agile/SAFe or hybrid environments
• Experience using agentic tools for test development and integrating work with agentic code development (ie: Github Copilot, Claude code)
• Proven track record reducing defect escape rates

Leadership Competencies

• Enterprise systems thinker
• Data-driven decision maker
• Builder of scalable processes
• Collaborative but boundary-setting partner
• Comfortable operating in fast-paced retail cycles
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: Embedded AI Engineer

Location: Sunnyvale, CA

Employment Type: 6+ Month Extendable Contract

Pay Range: USD 70-80/HR

- Role Overview/Job Responsibilities

About this opportunity – Embedded AI Engineer We are seeking an experienced Embedded AI Engineer to join our team in validating PyTorch-based Large Language Models (LLMs) using CUDA SDK APIs. The successful candidate will be responsible for debugging, extending, and replacing the underlying CUDA code to ensure seamless functionality on our company-specific AI processors.

Key Responsibilities:

● Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs

● Debug and troubleshoot issues related to CUDA code integration with PyTorch models

● Extend and modify CUDA code to optimize performance on company-specific AI processors

● Replace existing CUDA code with custom implementations to meet specific requirements

● Collaborate with cross-functional teams to ensure successful integration of LLMs with company-specific AI processors

● Develop and maintain validation frameworks and tools for PyTorch-based LLMs

● Analyze and optimize the performance of LLMs on company-specific AI processors Requirements

● Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields

● Strong experience with CUDA programming and PyTorch framework

● In-depth knowledge of deep learning models, particularly Large Language Models (LLMs)

● Proficiency in C++ and Python programming languages

● Experience with debugging and troubleshooting complex software issues

● Excellent problem-solving skills and attention to detail

● Strong communication and collaboration skills

Nice to Have:

● Experience with AI processor architecture and design

● Knowledge of other deep learning frameworks, such as TensorFlow

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.