Senior Agentic AI Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $102k - $203.9k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 0%

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Design, develop, and maintain reusable platform components, accelerators, pipelines, agent harnesses, and shared services across Google Vertex AI, ServiceNow AI, Databricks, and Claude-based ecosystems • Build foundational enterprise AI capabilities including RAG frameworks, vector-enabled architectures, evaluation frameworks, orchestration services, model integration patterns, and reusable engineering accelerators • Own shared platform capabilities through architecture, versioning, production hardening, performance optimization, adoption support, and continuous enhancement • Implement secure-by-design patterns with AI governance, access controls, data privacy protections, prompt injection safeguards, resiliency mechanisms, failover strategies, and graceful degradation • Partner with AI Solutions Architects, Product Delivery, Architecture, Security, and Operations teams to drive adoption and provide onboarding and technical guidance • Communicate architectural decisions and technical trade-offs to engineering teams and senior leadership • Mentor interns and contractor resources and provide technical leadership and engineering best-practice guidance

🎯 Requirements

• 5+ years building AI/ML platforms, developer platforms, shared engineering frameworks, or enterprise-scale software solutions with increasing technical ownership and responsibility • 4+ years developing reusable platform capabilities, accelerators, tooling, or shared services adopted across multiple engineering teams in enterprise environments • 3+ years of hands-on experience building production solutions on Google Vertex AI, Azure AI, ServiceNow AI, Databricks, or similar cloud AI platforms • 2+ years designing and implementing RAG, agentic AI architectures, vector search solutions, and large language model integrations • 2+ years designing secure, scalable, highly available distributed systems while applying AI governance, privacy, resiliency, and operational reliability best practices • Strong full-stack and Python engineering expertise, including production-grade development, API and microservice architecture, FastAPI, Docker, pytest, CI/CD, and cloud-native application design • Experience building agentic AI solutions using Claude or similar large language models, tool use, function calling, agent orchestration, MCP, and multi-step reasoning patterns • Knowledge of prompt engineering, context engineering, retrieval engineering, chunking strategies, embedding models, vector databases such as pgvector, retrieval tuning, reranking, caching strategies, and evaluation frameworks • Familiarity with document ingestion and parsing frameworks such as Docling or Unstructured; SQL, schema migration tooling, ETL pipelines, and bronze, silver, and gold data architectures • Experience supporting healthcare, pharmacy, cybersecurity, AIOps, or other regulated environments; exposure to MLOps, LLMOps, Cloud SQL, Cloud Functions, and IAM • Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program in addition to base pay • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being