ai solutions engineer

Vantage Data Centers

<div><h1 class="jobSectionHeader">About Vantage Data Centers</h1> 
Vantage Data Centers powers, cools, protects and connects the technology of the world&rsquo;s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.
Information Technology Department
The Information Technology Department architects and operates the digital foundation powering Vantage Data Centers' global operations while pioneering the intelligent transformation of how we work. Our integrated IT/AI organization delivers enterprise-grade infrastructure, networking, cybersecurity, and end-user services with operational excellence, while simultaneously developing artificial intelligence capabilities that drive measurable business value. We are transforming our service delivery model around ITIL best practices, comprehensive automation frameworks, and governance structures that enable both stability and innovation. Our teams collaborate across Infrastructure, Network, Service Desk, IT Engineering, and Artificial Intelligence functions, emphasizing service over technology and recognizing that success is measured by business outcomes rather than technical implementations. This is an exceptional time to join as we fundamentally reshape how technology serves the organization, creating an environment where operational discipline and innovative experimentation work as complementary forces.
Artificial Intelligence Team
The Artificial Intelligence Team exists to amplify human potential through intelligent technology. We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market. Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence. Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution.
Position Overview
This position is based remotely in the United States.
The AI Solutions Engineer, Global is a hands-on technical builder within Vantage&rsquo;s Accelerators team, responsible for transforming validated business requirements into working AI prototypes that demonstrate tangible value within aggressive 6-week development cycles. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage&rsquo;s data center operations.
Essential Job Functions<ul><li>
Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization.</li><li>
Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform.</li><li>
Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity.</li><li>
Apply SDLC best practices&mdash;version control, code reviews, automated testing, and CI/CD&mdash;within a rapid prototyping environment to balance quality and speed.</li><li>
Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams.</li><li>
Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements.</li><li>
Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability.</li><li>
Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.</li></ul>
Duties<ul><li>
Develop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automation.</li><li>
Integrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutions.</li><li>
Build custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365.</li><li>
Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performance.</li><li>
Implement APIs, webhooks, and integrations connecting AI solutions with enterprise platforms (Microsoft 365, SharePoint, Power Platform, Salesforce, and operational systems).</li><li>
Rapidly evaluate and experiment with emerging AI technologies, focusing on solutions suitable for production environments.</li><li>
Participate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growth.</li><li>
Embed security, privacy, and governance controls from the outset, meeting enterprise compliance standards.</li><li>
Create automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrations.</li><li>
Troubleshoot and resolve complex technical and integration issues while documenting learnings.</li><li>
Package prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrations.</li><li>
Support handoff to Development teams through architecture walkthroughs, documentation, and knowledge transfer.</li><li>
Stay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping efforts.</li><li>
Handle additional duties as assigned by Management.</li></ul>
Job Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred.</li><li>
Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms).</li><li>
Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code.</li><li>
Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform.</li><li>
Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint).</li><li>
Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design.</li><li>
Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures.</li><li>
Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity.</li><li>
Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor.</li><li>
Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus.</li><li>
Knowledge of security, data privacy, and enterprise compliance standards.</li><li>
Strong problem-solving and debugging skills, particularly in complex, integrated environments.</li><li>
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li><li>
Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments.</li><li>
Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.</li><li>
Travel required is expected to be up to 5% but may increase over time as the business evolves.</li></ul>
Physical Demands and Special Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.
Additional Details<ul><li>
Salary Range: $130,000-135,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)</li><li>
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.</li><li>
Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.</li></ul>
#LI-Remote #LI-CD1
We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other&rsquo;s strengths and respecting each other&rsquo;s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations. 
Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.
Vantage Data Centers is an Equal Opportunity Employer
Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.
We&rsquo;ll be accepting applications for at least one week from the date this role is posted. If you're interested, we encourage you to apply soon&mdash;we&rsquo;re excited to find the right person and will keep the role open until we do!</div>

AI Solutions Engineer, Global

Waters

<div>Overview:
<div>
Waters Corporation is seeking a Principal AI Solutions Engineer to drive the adoption and integration of artificial intelligence and machine learning across the Global Research organization. This role will be central to transforming how research is conducted by embedding AI/ML directly into diverse scientific and engineering workflows, such as software and algorithm development, CAD engineering design, and the formulation of chemistry experiments. The successful candidate will be able to source and configure AI solutions and initiate new ways of working in order to accelerate discovery, improve productivity, and increase innovation yield across all Waters technologies.</div><div></div><div> 
In addition to serving as the senior AI/ML technical authority within Global Research, this individual will act as a Team Lead for key research programs within the Global Research portfolio, providing technical direction, mentoring, and hands‑on leadership for high‑impact, AI‑enabled research initiatives. The role requires close collaboration with scientists and engineers globally and a strong on‑site presence in Milford, MA to enable effective change management and sustained adoption.</div>
Responsibilities:
<div>
AI/ML Transformation Leadership</div><ul><li>
Identify high‑value opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decision‑making in Global Research processes</li><li>
Source and configure AI/ML capabilities into existing research and engineering workflows, including mechanical and electrical engineering design, chemistry and other scientific research and software and algorithm development</li><li>
Support the use of AI/ML to unlock institutional knowledge from internal data and documentation</li><li>
Establish best practices, standards, and metrics to ensure successful and measurable AI/ML adoption</li><li>
Help establish training materials, documentation, and ongoing learning programs to sustain long‑term capability growth</li></ul><div>
AI/ML Research Leadership</div><ul><li>
Apply advanced techniques such as Bayesian optimization, surrogate modeling, generative modeling, and data‑driven experimental design</li><li>
Serve as technical lead or team lead for key AI/ML applied research projects spanning multiple Waters technology platforms</li><li>
Mentor scientists, engineers, interns, and members of the AI/ML champion network, spanning Global Research sites in Milford, MA, Wilmslow, UK, and Bangalore, India</li></ul>
Qualifications:<div></div><div> 
Education &amp; Experience</div><ul><li>
PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience</li><li>
8+ years of experience applying machine learning in research, engineering, or advanced technology development environments</li><li>
1+ years of experience learning cutting edge AI technologies and optimizing software development, engineering design or other discipline with on market and/or custom AI capabilities</li></ul><div>
Technical Skills</div><ul><li>
Expertise in machine learning and applied data science</li><li>
Strong proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn)</li><li>
Experience building end‑to‑end ML pipelines, including data preparation, modeling, validation, and deployment</li></ul><div>
Leadership &amp; Collaboration</div><ul><li>
Demonstrated ability to lead complex technical initiatives and influence senior scientists and engineers</li><li>
Strong communication skills, with the ability to explain AI and ML concepts to non‑ML audiences</li><li>
Experience mentoring and guiding cross‑functional teams</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience with scientific instrumentation, chemistry, or life sciences</li><li>
Prior experience leveraging AI/ML within R&amp;D organization processes</li><li>
Familiarity with change management in technical or research settings</li></ul><div></div><div> 
Why Join Waters</div><div>
This role offers a unique opportunity to shape the future of research at Waters by enabling AI‑driven discovery and innovation across the Global Research organization. You&rsquo;ll have a direct impact on time‑to‑market, research productivity, and long‑term technology leadership.</div><div>
We know that sometimes the perfect candidate does not exist, and that people can be put off applying for a job if they do not fit all the requirements. If you are excited about working for us and have most of the skills or experience we are looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Waters is proud to be an Equal Opportunity Employer and is committed to maintaining a diverse and inclusive work environment.</div><div> 
</div>Company Description:
<div>
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.</div><div></div><div> 
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.</div>
Key Words: Machine Learning, Innovation, AI, ML, Research, Engineering</div>

Research Principal Engineer, Machine Learning

LeadInTop

<div>
 We are looking for a talented AI Engineer to design, build, and deploy intelligent systems powered by AI technologies. The ideal candidate will work on building AI-driven tools, automations, and applications by integrating AI APIs, and data pipelines.
 
 
 You will be responsible for developing scalable AI solutions that leverage technologies such as LLMs, AI agents, speech recognition, web scraping, and workflow automation.
 
 
 This role requires strong problem-solving skills and the ability to translate business requirements into practical AI systems and automation pipelines.
 
 
 Key Responsibilities
 
 
 Design and build AI-powered applications and tools using modern AI APIs and frameworks.
 
 
 Develop AI agents and automation workflows to streamline business processes.
 
 
 Integrate large language models (LLMs) such as OpenAI and Claude into production systems.
 
 
 Implement web scraping and data extraction pipelines to collect structured data from external sources.
 
 
 Build AI pipelines that process, analyze, and generate insights from large datasets.
 
 
 Develop speech-to-text and audio processing solutions using models like Whisper.
 
 
 Integrate AI services with internal platforms, dashboards, and business tools.
 
 
 Collaborate with product, engineering, and business teams to deliver scalable AI solutions.
 
 
 Continuously research and implement new AI technologies and frameworks.
 
 
 
 
 Requirements
 
 
 Strong experience with Python and JavaScript.
 
 
 Experience working with AI APIs and LLM platforms.
 
 
 Familiarity with AI agent frameworks and prompt engineering.
 
 
 Experience with web scraping tools and data extraction pipelines.
 
 
 Understanding of REST APIs and system integrations.
 
 
 Experience building automation workflows.
 
 
 Ability to design and deploy AI-powered systems in production environments.
 
 
 Tools &amp; Technologies (Preferred)
 
 
 Experience with some of the following tools is a plus:
 
 
 n8n
 
 
 Apify
 
 
 Claude Code
 
 
 Lovable
 
 
 OpenAI Api's
 
 
 Cursor
 
 
 Experience Requirements
 
 
 3+ years experience in software engineering or AI development
 
 
 Hands-on experience building AI-powered applications or automation systems
 
 
 Experience integrating AI models into real-world products
 
 
 What Success Looks Like in This Role
 
 
 Building reliable AI automation pipelines
 
 
 Delivering production-ready AI tools and applications
 
 
 Creating scalable systems that leverage AI to solve real business problems
 
 
 
</div>

AI & Automation Engineer

Better Air

We&rsquo;re looking for a Systems Engineer with strong coding skills and hands-on experience building automation workflows and AI-enabled solutions. The ideal candidate is comfortable with n8n and uses AI-assisted development tools such as Claude, Cursor, and Codex to ship reliable, scalable integrations and internal systems.Responsibilities<ul><li>Design, build, and maintain n8n automations (workflows, triggers, webhooks, error handling).</li><li>Develop and maintain integrations with REST/GraphQL APIs (auth, rate limits, pagination, logging).</li><li>Implement solutions that leverage AI tools (e.g., Claude / Codex) to accelerate development, analysis, and automation.</li><li>Work with Git and engineering best practices (version control, PRs, documentation).</li><li>Connect internal systems with external tools (CRM, email, calendars, databases, etc.).</li><li>Monitor and optimize workflows (observability, alerts, retries, performance).</li><li>Document processes and create clear runbooks so the team can operate and scale what&rsquo;s built.</li></ul>Requirements (Must-have)<ul><li>Proven experience with n8n in real-world projects (production preferred).</li><li>Strong coding background (ideally JavaScript/TypeScript; Python is a plus).</li><li>Experience using Cursor and AI assistants like Claude and/or Codex in your development workflow.</li><li>Practical knowledge of webhooks, APIs, JSON, OAuth2/API keys.</li><li>Strong problem-solving skills and clear communication.</li></ul>Nice-to-have (Plus)<ul><li>Docker, deployments, Linux, CI/CD experience.</li><li>Databases (PostgreSQL/MySQL) and/or Redis.</li><li>Experience with other automation tools (Zapier/Make) and ability to compare/choose the right approach.</li><li>CRM/email/calendar integrations (HubSpot, Gmail/Google Calendar, etc.).</li><li>Experience with prompting, output evaluation, and security/privacy considerations when using AI in workflows.</li></ul>Pay: $40,000.00 - $50,000.00 per yearWork Location: Remote

Systems Engineer (Automation + AI) – n8n, Cursor, Claude, Codex

Valeo

<div>
 ResponsibilitiesAI-Driven Requirement Extraction
 
 
 <ul>
 <li>
 Manage and Do the requirement extraction service for the System and Product Architects Network utilizing the company AI tools. This role demands delivering high-accuracy results with rapid turnaround times to support architectural decision-making.
 
 
 </li>
 </ul>
 
 AI &amp; Intelligent Automation
 
 
 
 <ul>
 <li>
 Leverage AI technologies (e.g., AI agents, NLP, automation assistants) to support:
 </li>
 <li>
 Requirement extraction and analysis
 </li>
 <li>
 Compliance and traceability support
 </li>
 <li>
 Engineering data processing and reporting
 </li>
 <li>
 Propose and implement AI-based solutions to improve productivity and reduce manual effort.
 </li>
 <li>
 Collaborate with system engineers to ensure AI solutions align with engineering standards and quality requirements.
 
 
 </li>
 </ul>
 
 Tooling &amp; Scripting Development
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automation tools according to the defined roadmap.
 </li>
 <li>
 Document high-level requirements and technical specifications for developed tools.
 </li>
 <li>
 Develop scripts and applications to automate repetitive engineering activities (e.g., requirement handling, traceability, reports, metrics).
 </li>
 <li>
 Ensure maintainability by documenting tool architecture, design decisions, and usage guidelines.
 
 
 </li>
 </ul>
 
 Toolchain &amp; ALM Support
 
 
 
 <ul>
 <li>
 Define and support the required toolchain for System Engineering activities.
 </li>
 <li>
 Work with Requirement Management and ALM tools (e.g., Codebeamer, DOORS, Core ALM).
 </li>
 <li>
 Support integrations between tools and data sources when needed.
 
 
 </li>
 </ul>
 Key competencies
 
 Technical Skills
 
 
 
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience0 to 2 years experience in tools development
</div>

AI & Tooling Engineer, LIGHT

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
Key Responsibilities:
AI Solution Design &amp; Prototyping<ul><li>
Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.</li><li>
Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.</li><li>
Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.</li></ul>
Production Engineering &amp; Enterprise Readiness<ul><li>
Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.</li><li>
Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).</li><li>
Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.</li></ul>
Model Enablement &amp; Evaluation<ul><li>
Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).</li><li>
Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.</li><li>
Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.</li></ul>
Reusable Components &amp; Engineering Excellence<ul><li>
Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.</li><li>
Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.</li><li>
Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.</li></ul>
Required Qualifications:<ul><li>
7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.</li><li>
3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls)</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul>
Preferred Qualifications<ul><li>
Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.</li></ul><ul><li>
Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.</li><li>
Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.</li><li>
Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.</li><li>
Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

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10000 ai solutions engineer jobs Near Me

AI Solutions Engineer, Global

Research Principal Engineer, Machine Learning

AI & Automation Engineer

Systems Engineer (Automation + AI) – n8n, Cursor, Claude, Codex

AI & Tooling Engineer, LIGHT

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications