Principal Engineer - AI/Agentics

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Description

A Brief Overview

CVS Health is recruiting for an AI Agentics Engineer. In this high-impact role, you will drive the design, and implementation of cutting-edge autonomous AI agent systems that power intelligent automation across our enterprise operations. This role demands a systems thinker who thrives in complex multi-agent environments, prioritizes agent orchestration and emergent behavior design over traditional ML model training. You need to have a proven track record of building agentic systems from scratch. You'll drive the evolution of AI agent platform implementation as a transformative paradigm while ensuring seamless integration with existing enterprise systems, autonomous decision-making at scale, and intelligent orchestration across diverse business domains. You will serve as a leader in executing on AI and Agentics strategy, ensuring our agentic approach meets evolving business objectives.

Major Responsibilities

You will make an impact by:

1. Strategic Agentic Architecture & Design

• Drive the end-to-end implementation and deployment for highly scalable, multi-agent systems that can operate autonomously across complex enterprise workflows, ensuring alignment with business goals and operational efficiency.

• Partner with other Principal Engineers and AI Architects to contribute to the long-term agentic roadmap, with specific milestones for agent capability expansion and cross-domain integrations.

• Champion best practices for agent reliability, interpretability, safety, and performance optimization across all deployment environments.

2. Agent Platform Development & Orchestration

• Lead the development of new AI agent platforms from the ground up, setting the standard for autonomous operation and intelligent coordination in large, complex enterprises.

• Implement robust agent lifecycle management, including spawning, monitoring, termination, and inter-agent communication protocols for seamless scaling of autonomous services.

• Support fostering an engineering culture that values agent autonomy, emergent intelligence, and continuous learning capabilities.

3. Multi-Agent Systems & Emerging AI Technologies

• Provide implantation leadership on how multi-agent systems, large language models, and reinforcement learning create unique demands on infrastructure, including real-time decision engines, knowledge graph integration, and large-scale agent coordination.

• Understand how to move AI agents from proof-of-concept to production-ready autonomous systems.

• Evaluate and recommend emerging agentic technologies (e.g., tool-using agents, reasoning frameworks, advanced planning algorithms) and guide their integration into the broader technology stack.

4. Cross-Functional Leadership & AI Mentoring

• Serve as a key proponent of Agentic programs with product leaders, translating complex agentic architectures and patterns into clear propositions.

• Support the broader AI community of engineers, data scientists, and operational teams, helping to elevate the organization's overall agentic AI proficiency.

• Cultivate a strong, collaborative culture across distributed teams, promoting open communication, knowledge sharing, and responsible AI innovation.

5. Enterprise AI Governance & Safety

• Ensure adherence to AI ethics standards and responsible AI practices, advocating safety-by-design principles at every stage of the agent development lifecycle.

• Suppot compliance with internal governance frameworks for AI explainability, bias mitigation, and autonomous system accountability.

• Identify risks in autonomous agent behavior and propose mitigation strategies in alignment with corporate AI safety and regulatory requirements.

Required Qualifications

The candidate will have a strong work ethic, be a self-starter, and be able to be highly productive in a dynamic, collaborative environment. This position offers broad exposure to all aspects of cutting-edge AI agent development, as well as significant collaboration across business segments. The candidate will be expected to have the following key attributes:

• 5+ years in AI/ML engineering with 2+ years specifically in agentic AI or autonomous sy