This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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. CVS Health is recruiting for a Distinguished Engineer- AI Agentics Engineering. In this high-impact role, you will lead the architecture, 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 platforms 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 thought leader and mentor for AI engineering teams, ensuring our agentic strategy is robust, innovative, and aligned with evolving business objectives.
Job Responsibility:
Strategic Agentic Architecture & Design: Drive the end-to-end architecture for highly scalable, multi-agent systems that can operate autonomously across complex enterprise workflows
Partner with other Principal Engineers, AI Architects, and executive leadership to shape the long-term agentic roadmap
Champion best practices for agent reliability, interpretability, safety, and performance optimization
Agent Platform Development & Orchestration: Oversee the design and development of new AI agent platforms from the ground up
Implement robust agent lifecycle management, including spawning, monitoring, termination, and inter-agent communication protocols
Foster an engineering culture that values agent autonomy, emergent intelligence, and continuous learning capabilities
Multi-Agent Systems & Emerging AI Technologies: Provide thought leadership on how multi-agent systems, large language models, and reinforcement learning create unique demands on infrastructure
Understand how to move AI agents from proof-of-concept to production-ready autonomous systems
Evaluate and recommend emerging agentic technologies and guide their integration into the broader technology stack
Cross-Functional Leadership & AI Mentoring: Serve as a key technical advisor for C-level executives and product leaders
Mentor and coach senior AI engineers, data scientists, and operational teams
Cultivate a strong, collaborative culture across distributed teams
Enterprise AI Governance & Safety: Ensure adherence to AI ethics standards and responsible AI practices
Guide compliance with internal governance frameworks for AI explainability, bias mitigation, and autonomous system accountability
Identify risks in autonomous agent behavior and propose mitigation strategies
Requirements:
15+ years of Software Engineering experience required
7+ years in AI/ML engineering with 3+ 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)
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)
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
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
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
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program