[Remote] Principal AI Engineer

Note: The job is a remote job and is open to candidates in USA. CVS Health is seeking a Principal AI Engineer to set technical direction for enterprise-grade GenAI and agentic AI systems in a regulated healthcare environment. The role leads the architecture, delivery, and operation of secure, scalable production AI solutions while providing hands-on technical leadership across teams.

Responsibilities

• Architect and deliver production-grade GenAI and agentic AI solutions, including RAG, vector search, model integration, tool orchestration, guardrails, and evaluation across AWS and/or GCP
• Build scalable, cloud-native AI systems using serverless/event-driven architectures, APIs, CI/CD, infrastructure-as-code, and modern software engineering practices
• Own the production AI lifecycle, from experimentation and deployment through monitoring, observability, performance, cost optimization, and continuous improvement
• Establish secure and responsible AI practices that address privacy, security, governance, auditability, model risk, and appropriate human oversight in a regulated environment
• Define AI architecture, standards, and engineering best practices for areas such as agent orchestration, RAG, tool/MCP integrations, evaluation, and enterprise AI adoption
• Partner across product, engineering, data, security, privacy, legal, compliance, and business teams to translate strategic needs into scalable AI solutions and influence technical direction
• Provide hands-on technical leadership through design reviews, mentorship, architecture guidance, build-vs-buy decisions, and clear technical documentation

Skills

• 10+ years of software engineering experience, with 5+ years in solution architecture or system design
• 5+ years building large-scale microservices and APIs (Node.js, TypeScript, Java, or Python)
• 5+ years of hands-on AWS and/or GCP experience (serverless, event-driven, CI/CD, AI/ML)
• Hands-on experience with AWS Bedrock (models, agents, knowledge bases, guardrails, tuning, evaluation) or GCP Vertex AI (Model Garden, Agent Builder, Vector Search, Pipelines, Tuning), or equivalent
• Production experience with agentic AI frameworks, RAG architectures, and vector databases
• Strong Python skills for AI/ML engineering
• Demonstrated experience delivering AI/ML systems in regulated environments with security, privacy, and audit requirements
• Track record of influencing technical direction across multiple teams without direct authority
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience (High School diploma + 4 years of relevant experience)
• Healthcare, life sciences, or other regulated-industry experience, including HIPAA and PHI handling
• Experience with Vertex AI Generative AI Studio, vector search orchestration, and agent capabilities
• Experience with LLM evaluation tooling and observability platforms (e.g., LangSmith, Arize, Langfuse, Ragas, or cloud-native equivalents)
• Experience with MCP servers and tool integration, agent-to-agent patterns, and agent memory design
• Experience with infrastructure-as-code (Terraform, CDK), containers, and Kubernetes
• Experience with fine-tuning techniques (LoRA/PEFT, distillation) and open-weight models
• Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and model risk management
• Agile/SAFe experience in large enterprises
• Cloud certifications (AWS, GCP, or Azure)
• Publications, patents, or open-source contributions in AI/ML

Benefits

• Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range.
• An award target in the company’s equity award program.
• 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, and other resources, based on eligibility.
• Work at Home in Texas.

Company Overview

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