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About the Role

AI LaunchPad is CVS Health's centralized AI platform, providing LLM access, observability tooling, and infrastructure for building and deploying production AI agents. Engineers work on generative AI research and real-world healthcare impact, shipping agentic systems, RAG pipelines, and multimodal workflows.

Responsibilities

• Design, build, and operate production AI systems, including agentic orchestration pipelines, RAG architectures, LLM evaluation frameworks, and MLOps infrastructure.
• Design and deploy enterprise-scale Generative AI platforms, including agentic RAG pipelines, multimodal workflows, and LLM-powered automation in HIPAA-compliant cloud environments.
• Build and maintain agentic orchestration systems using frameworks like LangGraph, LangChain, CrewAI, or Google Agent Development Kit (ADK).
• Develop and operationalize RAG systems with advanced retrieval techniques and robust evaluation pipelines.
• Establish LLM observability and CI/CD guardrails, integrating tools like LangFuse and RAGAS.
• Implement MLOps best practices, including containerization, infrastructure-as-code, and automated deployment pipelines on GCP or AWS.
• Collaborate with data engineers to design distributed data pipelines that feed production AI systems at scale.
• Partner with product and business teams to translate healthcare use cases into scalable AI solutions.
• Mentor junior engineers, contribute to GenAI/MLOps standards, and drive team-wide adoption of scalable AI practices.
• Conduct model evaluation and interpretability analysis to ensure reliability, fairness, and compliance of deployed models.

Requirements

• 3+ years of software engineering experience with at least 1 year focused on production Generative AI or LLM systems.
• Hands-on experience with agentic AI frameworks: LangGraph, LangChain, CrewAI, or ADK.
• Demonstrated expertise building and evaluating RAG systems (hybrid search, chunking strategies, eval pipelines).
• Proficiency with cloud ML platforms: GCP Vertex AI, AWS SageMaker, or equivalent.
• Strong Python skills; experience with ML libraries (Transformers, fine-tuning with LoRA, multimodal models).
• Experience with MLOps tooling: CI/CD pipelines, Docker, Kubernetes, Terraform, and observability stacks.
• Familiarity with data engineering tools: Spark, Airflow, SQL, distributed pipelines.
• Understanding of healthcare data privacy requirements (HIPAA) and secure AI deployment practices.

Skills

• Generative AI
• LLM engineering
• Agentic orchestration
• RAG pipelines
• Multimodal workflows
• LLM evaluation
• MLOps
• Python
• Transformers
• Fine-tuning with LoRA
• Multimodal models
• CI/CD
• Docker
• Kubernetes
• Terraform
• GCP Vertex AI
• AWS SageMaker
• Spark
• Airflow
• SQL
• HIPAA

Location

• Remote

Work Type

• Full time

Experience Level

• 3+ years of software engineering experience
• 1+ year focused on production Generative AI or LLM systems

Education Level

• M.S. or Ph.D. in Computer Science, Data Science, or a related field-or equivalent relevant work experience

Salary/Compensations

• $79,310.00 - $158,620.00

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs

About the Company

• We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience.
• At CVS Health®, you’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 – helping to simplify health care one person, one family and one community at a time.
• 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.
• Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Equal Opportunity

• Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.