Staff AI Engineer

Position Summary

Design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business. This role blends hands-on engineering with architecture, platform leadership, and cross-functional collaboration in a HIPAA-regulated environment. You will work across AWS Bedrock, GCP Vertex AI, serverless compute, event-driven architectures, vector search, and agentic frameworks to deliver AI systems that accelerate business outcomes and improve experiences for members, providers, and colleagues.

What You Will Do

Machine Learning Development & Strategy

• Drive 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.
• Collaborate 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.
• Interface 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.
• Design and implement 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.
• Advise on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions.
• Stay 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.

AI & Cloud Engineering

• 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).
• Build cloud-native AI systems using event-driven architectures (SNS/SQS, Pub/Sub, EventBridge, triggers).
• Build cloud-native AI systems using microservices and APIs (Node.js, Java, Python).

Agentic Frameworks & Automation

• 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.
• Design and develop AI Agents using Copilot Studio and Cloud Flow (Power Automate).

RAG Architectures

• 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.

Model Lifecycle & Operationalization

• Lead model experimentation, fine-tuning, evaluation, deployment, and monitoring across cloud platforms.
• Optimize cost, performance, token usage, latency, and scaling for production workloads.

Responsible AI & Compliance

• 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.

Collaboration & Leadership

• Consult on and present 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.
• Ensure 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.
• Manage 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.
• 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.

Required Qualifications

• 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
• Production experience with RAG architectures and vector databases
• Production experience with serverless and event-driven designs

Preferred Qualifications

• 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

Education

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

Compensation & Benefits

Pay Range

$106,605.00 - $260,590.00

The typical 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's equity award program.

Benefits

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families:

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility

Additional details about available benefits are provided during the application process and on Benefits Moments.

Application Information

Application window closes: 10/27/2026

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