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.
Position SummaryThe Principal AI Architect is the senior individual contributor accountable for AI architecture across Aetna Technology. This role sets the technical direction for how AI capabilities are built, served, orchestrated, and governed — including the multi-model platform and spanning generative and agentic workloads. The Principal AI Architect defines the AI reference architectures and paved road that teams build on, sets the pattern for agentic systems, and serves as Aetna Technology's deepest technical authority on AI — driving outcomes through design authority and influence rather than direct reports.
Key Responsibilities:AI Platform and Reference Design- Own the Aetna Technology AI reference architectures — model serving, multi-model orchestration, retrieval, and evaluation — across AWS-primary and multicloud infrastructure.
- Define the agentic architecture: agent orchestration as the enforced contract, domain agents scoped by journey and business context, and a reusable skills layer where reusability actually lives.
- Set the integration default — API-first, with MCP adopted by exception — and the criteria that govern that exception.
- Design and maintain the paved road for AI development — golden patterns for building, serving, and evaluating models and agents so teams ship without re-solving solved problems.
- Embed guardrails, evaluation, and safety controls into the paved road so responsible-AI practice is inherited by default, not bolted on per team.
- Define the model evaluation and benchmarking discipline — how models are compared, selected, and re-tested as the landscape shifts.
- Establish controls for regulated and sensitive data in AI workloads (including PHI) — access, grounding, and blast-radius reduction across agents and models.
- Define the instrumentation that ties AI investment to measurable outcomes — the ledger, labor-redeployment signals, and usage telemetry — surfaced in concrete dollar terms.
- Partner with platform and finance teams on cost-aware AI architecture so unit economics are a first-class design constraint.
- Author the AI standards enforced as automated gates and paved-road defaults, not as a review queue.
- Contribute to architecture governance — reference architectures, technology radar input across a fast-moving model landscape, and design reviews — in partnership with Enterprise Architecture.
- Evaluate emerging models, frameworks, and agentic tooling and make directional recommendations on adoption.
- Translate AI architecture trade-offs into clear, decision-oriented narratives for senior technology leaders and peer architects.
- Coach and raise the bar for Solution Architects and senior engineers through design reviews and system-level reasoning — without direct reporting relationships.
- Act as a credible technical partner to strategic AI vendors and internal platform teams.
- 12+ years in technology, with deep, hands-on experience in AI/ML platform and solution architecture at Aetna Technology scale.
- Expert-level command of model serving, multi-model orchestration, retrieval, and evaluation on cloud platforms (AWS primary; GCP/Azure familiarity preferred).
- Demonstrated ownership of AI reference architectures and paved-road / golden-path patterns for model and agent development.
- Hands-on experience designing agentic systems — orchestration, tool/skill layers, and the integration patterns (API, MCP) behind them.
- Strong grounding in responsible AI, model evaluation, and guardrail design.
- Track record of driving technical outcomes through influence and design authority as an individual contributor.
- Experience in healthcare, health insurance, or similarly regulated industries.
- Familiarity with FinOps and cost-aware AI architecture, able to tie design decisions to dollar impact.
- Experience instrumenting AI ROI and adoption metrics for executive audiences.
- Experience with infrastructure-as-code and automated policy/guardrail enforcement.
- Technical Depth — Aetna Technology's deepest AI authority; credible with Principal Engineers and able to go deep on any layer of the AI stack.
- Systems Thinking — Sees the whole system; anticipates second-order effects across safety, cost, and downstream consumption.
- Decisiveness — Makes directional calls with incomplete information and adjusts as context evolves.
- Influence Without Authority — Drives alignment and raises engineering standards across boundaries with no direct reports.
- Pragmatism — Ships standards as gates and paved road, not as queues; balances rigor against delivery speed.
Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
This 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 12 or more years of technology experience
- Deep hands-on experience in AI/ML platform and solution architecture at enterprise scale
- Expert command of model serving, multi-model orchestration, retrieval, and evaluation on AWS
- Familiarity with GCP and Azure cloud platforms
- Experience owning AI reference architectures and paved-road or golden-path patterns for model and agent development
- Hands-on experience designing agentic systems, including orchestration, tool or skill layers, and API or MCP integration patterns
- Strong grounding in responsible AI, model evaluation, and guardrail design
- Track record of driving technical outcomes through influence and design authority as an individual contributor
- Experience in healthcare, health insurance, or similarly regulated industries
- Familiarity with FinOps and cost-aware AI architecture, including tying design decisions to dollar impact
- Experience instrumenting AI ROI and adoption metrics for executive audiences
- Experience with infrastructure as code and automated policy or guardrail enforcement
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
