Principal Engineer - AI/Agentics

CVS Health • Woonsocket, RI • 22h ago

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:

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.
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.
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.
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.
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 systems.

Proven experience building multi-agent systems from scratch (not just fine-tuning existing models).

Deep expertise in:

Multi-agent system architectures : Actor model frameworks, distributed consensus protocols, agent communication standards (FIPA-ACL, KQML, MCP, A2A), and coordination patterns (hierarchical, peer-to-peer, marketplace-based).

LLM Integration Platforms : OpenAI API, Anthropic Claude API, Azure OpenAI Service, Google Vertex AI, and on-premises LLM deployment (vLLM, TensorRT-LLM, Ollama).

Agentic Frameworks : LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and custom agent runtime environments.

Tool-using AI Systems : Function calling implementations, API integration patterns, IDE (Cursor, Windsurf), Notebooks (Jupyter), tool selection algorithms, and sandbox execution environments for safe tool usage.

Agent Orchestration Platforms : Kubernetes-based agent deployment, Apache Airflow for agent workflows, Temporal for durable agent executions, Agentspace, and event-driven architectures (Apache Kafka, RabbitMQ).

Vector Databases & Knowledge Systems : Pinecone, Weaviate, Chroma, Qdrant for agent memory systems, and knowledge graph technologies (Neo4j, Amazon Neptune, Apache Jena).

Real-time Inference Infrastructure : NVIDIA Triton Inference Server, Ray Serve, TorchServe, and streaming architectures for sub-100ms agent response times.

Planning & Reasoning Engines : PDDL planners, Monte Carlo Tree Search, ReAct patterns, Chain-of-Thought implementations, and multi-step reasoning frameworks.

Agent Monitoring & Observability : LangSmith, Weights & Biases, custom telemetry systems, and agent behavior analytics platforms.

Security & Sandboxing : Docker/containerd for agent isolation, WebAssembly runtimes, secure code execution environments, and prompt injection mitigation strategies.

Problem-solving mindset : Ability to design emergent behaviors and deliver pragmatic autonomous solutions.

Preferred Qualifications

Leadership : Track record of guiding AI teams and driving cross-functional alignment in complex AI initiatives.

Education

Bachelor's Degree in Computer Science, Engineering, or related field

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 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 https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/19/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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