Principal Engineer - AI/Agentics at CVS Health
Woonsocket, RI 02895, USA -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

288400.0

Posted On

27 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Multi Agent Systems, Collaborative Environment, Scratch, Security, Computer Science, Reinforcement Learning, Cross Functional Alignment, Leadership, Rabbitmq, Apache Kafka, Agent Development, Infrastructure, Neo4J, Mitigation Strategies, A2A

Industry

Information Technology/IT

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.

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).

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

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Responsibilities

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