CVS Health · 2 months ago
Distinguished Engineer- AI Agentics Engineering
Woonsocket, RI
Full-time
Onsite
Lead/Staff
$175K/yr - $335K/yr
15+ years expCVS Health is a leading health solutions company dedicated to transforming health care. They are seeking a Distinguished Engineer to lead the architecture, design, and implementation of autonomous AI agent systems that enhance intelligent automation across enterprise operations.
Health CareMedicalPharmaceuticalRetailSales
Responsibilities
Drive the end-to-end architecture 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, AI Architects, and executive leadership to shape 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
Oversee the design and 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
Foster an engineering culture that values agent autonomy, emergent intelligence, and continuous learning capabilities
Provide thought 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
Serve as a key technical advisor for C-level executives and product leaders, translating complex agentic architectural decisions into clear business value propositions
Mentor and coach senior AI engineers, data scientists, and operational teams, elevating the organization's overall agentic AI proficiency
Cultivate a strong, collaborative culture across distributed teams, promoting open communication, knowledge sharing, and responsible AI innovation
Ensure adherence to AI ethics standards and responsible AI practices, advocating safety-by-design principles at every stage of the agent development lifecycle
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 in alignment with corporate AI safety and regulatory requirements
Qualification
Required
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)
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
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
Benefits
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.
Company
CVS Health
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
10001+ employees
H1B Sponsorship
CVS Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$4BKey Investors
Michigan Economic Development CorporationStarboard Value
2025-08-15Post Ipo Debt· $4B
2025-07-17Grant· $1.5M
2019-11-25Post Ipo Equity
Leadership Team
David Joyner
President and Chief Executive Officer, CVS Health
Chandra McMahon
SVP & CISO
Recent News
The Motley Fool
2026-01-22
bloomberglaw.com
2026-01-22
Maryland Daily Record
2026-01-19
Company data provided by crunchbase