# Principal AI Engineer

**Company**: CVS Health
**Experience**: senior
**Job type**: full-time
**Salary**: $144,200.00 - $288,400.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/Work-At-Home-Texas/Principal-AI-Engineer_R1070115?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/principal-ai-engineer-e54d00ae-600/

## Description

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

As a Principal AI Engineer, you will set the technical direction for designing, building, and operating enterprise-grade GenAI and agentic AI systems in a regulated healthcare environment.

**What You Will Do**

- 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.

**Required Qualifications**

- 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.

**Preferred Qualifications**

- 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.

**Education**

- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience (High School diploma + 4 years of relevant experience).

**Pay Range**

The typical pay range for this role is: $144,200.00 - $288,400.00

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## Skills

### Required
- Python
- AWS
- GCP
- GenAI
- agentic AI
- RAG
- vector search
- model integration
- tool orchestration
- guardrails
- evaluation
- serverless/event-driven architectures
- APIs
- CI/CD
- infrastructure-as-code
- modern software engineering practices

### Nice to have
- Vertex AI Generative AI Studio
- LLM evaluation tooling
- observability platforms
- MCP servers
- agent-to-agent patterns
- agent memory design
- containers
- Kubernetes
- fine-tuning techniques
- open-weight models
- AI governance frameworks
- model risk management
- Agile/SAFe
- cloud certifications

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