Principal AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Connecticut, +4 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Set the technical direction for enterprise-grade GenAI and agentic AI systems in a regulated healthcare environment • 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 addressing privacy, security, governance, auditability, model risk, and human oversight • Define AI architecture, standards, and engineering best practices for agent orchestration, RAG, tool/MCP integrations, evaluation, and enterprise AI adoption • Partner with product, engineering, data, security, privacy, legal, compliance, and business teams to translate strategic needs into scalable AI solutions • Provide hands-on technical leadership through design reviews, mentorship, architecture guidance, build-vs-buy decisions, and technical documentation • Report to the Lead Director on the Commercial team in the Aetna Technology organization

🎯 Requirements

• 10+ years of software engineering experience, with 5+ years in solution architecture or system design • 5+ years building large-scale microservices and APIs using Node.js, TypeScript, Java, or Python • 5+ years of hands-on AWS and/or GCP experience, including serverless, event-driven, CI/CD, and AI/ML • Hands-on experience with AWS Bedrock or GCP Vertex AI, or equivalent • Production experience with agentic AI frameworks, RAG architectures, and vector databases • Strong Python skills for AI/ML engineering • 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 • Experience with MCP servers and tool integration, agent-to-agent patterns, and agent memory design • Experience with infrastructure-as-code, containers, and Kubernetes • Experience with fine-tuning techniques and open-weight models • Familiarity with AI governance frameworks and model risk management • Agile/SAFe experience in large enterprises • Cloud certifications • Publications, patents, or open-source contributions in AI/ML

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program • Equity award program