Executive Director, Agentic AI

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. Role Summary The Executive Director, Agentic AI will define and lead the enterprise strategy, platform, and execution of Agentic AI systems—AI solutions capable of autonomous planning, reasoning, orchestration, and action across complex business workflows. This leader will be responsible for moving the organization from assistive AI to agent-driven, outcome-oriented intelligence, while ensuring trust, safety, governance, and regulatory compliance. This role sits at the intersection of AI platform engineering, product strategy, architecture, and applied business transformation, and partners deeply with Digital Experience, Platforms, Integrations, Data, Security, Legal, and Operations. ⸻ Key Responsibilities 1. Agentic AI Strategy & Vision • Define the enterprise Agentic AI vision and roadmap, aligned to business outcomes (cost reduction, revenue growth, productivity, experience uplift). • Establish clear differentiation between LLM tools, copilots, workflows, and autonomous/multi-agent systems. • Identify and prioritize high-value agentic use cases (e.g., customer support resolution, claims/prior auth automation, contract leakage reduction, operational orchestration, developer productivity). ⸻ 2. Agentic AI Platform & Architecture • Own the design and evolution of the Agentic AI Platform, including: • Multi-agent frameworks (planner, executor, verifier, critic, retriever agents) • Tool/function calling and API orchestration • RAG, memory, state management, and context persistence • Human-in-the-loop / human-on-the-loop controls • Define standards for agent lifecycle management (design, testing, deployment, observability, rollback). • Partner with Digital Platform and Integration teams to ensure agents are API-first, event-driven, and scalable. ⸻ 3. Applied AI Product Delivery • Lead delivery of production-grade agentic solutions, not POCs. • Ensure agents are embedded into real digital experiences (chat, IVR, portals, internal tools). • Drive build-once, reuse-everywhere agent capabilities across channels and domains. • Establish clear success metrics: task completion rate, autonomy %, error rate, escalation rate, cycle-time reduction. ⸻ 4. AI Governance, Trust & Safety • Define and enforce Agentic AI governance frameworks, including: • Safety boundaries and guardrails • Explainability and auditability • Data privacy and security controls • Bias, hallucination, and failure-mode mitigation • Partner with Legal, Risk, Compliance, and Security to ensure regulatory-ready AI systems (HIPAA, SOC2, SOX, etc.). • Establish policies for autonomy thresholds and decision accountability. ⸻ 5. Organization & Talent Leadership • Build and lead high-performing AI engineering and applied science teams (staff, principal, managers). • Define role clarity across AI research, platform engineering, applied AI, and MLOps. • Coach leaders and teams on agentic system thinking vs traditional ML. • Drive a culture of responsible innovation, technical rigor, and business ownership. ⸻ 6. Executive & Cross-Functional Partnership • Act as the primary executive voice for Agentic AI with C-suite and senior leadership. • Translate complex AI concepts into clear business narratives and investment cases. • Partner with Product, Experience, Operations, and Business leaders to co-own outcomes. • Represent the company externally with partners, vendors, and industry forums. ⸻ Required Qualifications • 12+ years in software engineering, platforms, or AI/ML, with 5+ years in senior leadership roles. • Hands-on experience delivering AI systems at enterprise scale (not just experimentation). • Deep understanding of: • LLMs, SLMs, RAG, embeddings, vector databases • Agent frameworks and orchestration patterns • Distributed systems, APIs, event-driven architectures • Proven ability to operate in regulated, high-availability environments. • Strong executive communication and stakeholder-management skills. ⸻ Preferred Qualifications • Experience building or operating multi-agent or autonomous AI systems in production. • Background in healthcare, payments, financial services, or other regulated domains. • Familiarity with AI tooling ecosystems (OpenAI, Azure AI, LangGraph, AutoGen, Semantic Kernel, etc.). • Experience defining AI operating models and governance at enterprise scale. Pay Range The typical pay range for this role is: $175,100.00 - $334,750.00 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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit We anticipate the application window for this opening will close on: 05/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.