Staff AI Engineer

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.

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  Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing.

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  Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives.

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  Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability.

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  Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis.

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  Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions.

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  Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry.

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  Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency.

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  Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development.

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  Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications.

• Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP Vertex AI capabilities (models, tuning, pipelines, vector search, guardrails, evaluation).

• Build cloud-native AI systems using:

• Serverless architectures (AWS Lambda, Step Functions, EventBridge; Cloud Functions, Cloud Run)

• Event-driven architectures (SNS/SQS, Pub/Sub, EventBridge, triggers)

• Microservices and APIs (Node.js, Java, Python)

• Architect agentic AI systems using Bedrock Agents, Vertex AI Agent Builder, or approved frameworks (LangGraph, LangChain, LlamaIndex Agents).

• Deliver multi-step reasoning, tool-use, and workflow orchestration for enterprise use cases.

• Comfortable designing and developing AI Agents using Copilot Studio and Cloud flow (Power Automate).

• Develop robust Retrieval-Augmented Generation (RAG) systems using Bedrock Knowledge Bases, Vertex AI Vector Search, or custom vector databases (OpenSearch, Pinecone, FAISS, pgvector).

• Design document ingestion, embedding, chunking, grounding, and retrieval pipelines that integrate securely with enterprise data.

• Lead model experimentation, fine‑tuning, evaluation, deployment, and monitoring across cloud platforms.

• Optimize cost, performance, token usage, latency, and scaling for production workloads.

• Ensure all solutions meet CVS Health’s Responsible AI standards, including model documentation, governance, risk assessment, and auditability.

• Design systems that adhere to HIPAA, data privacy, and security requirements.

• Partner with product, engineering, data, security, and compliance teams to shape roadmaps and solution direction.

• Mentor engineers and contribute reusable patterns, frameworks, and platform accelerators.

• 7+ years in large-scale software development

• 5+ years solution architecture or system design experience.

• 5+ years building large-scale microservices/APIs using Node.js.

• 3+ years hands‑on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD).

• AWS Bedrock (any combination of models, agents, knowledge bases, guardrails, tuning, evaluation) or GCP Vertex AI (Model Garden, Extensions/Agents, Vector Search, Pipelines, Tuning) or similar technologies.

• Strong communication and leadership skills.

• Strong experience with Python for AI/ML engineering.

• Production experience with:

  • Agentic AI frameworks

  • RAG architectures and vector databases

  • Serverless and event-driven designs

• Experience with Vertex AI’s Generative AI Studio, vector search orchestration, and agent capabilities.

• Hands-on experience with vector databases (OpenSearch, Pinecone, FAISS, pgvector, Milvus).

• Strong knowledge of prompt engineering, evaluation, observability, and LLM security patterns.

• Ability to write clear design docs, architectural diagrams, runbooks, and technical briefs.

• Agile/SAFe experience in large enterprises.

• Cloud certifications (AWS/GCP) preferred.

Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)

The typical pay range for this role is: