# Senior Agentic AI Platform Engineer

**Company**: CVS Health
**Location**: Work from home, CT, CT
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $101,970.00 - $203,940.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Senior-Agentic-AI-Platform-Engineer_R1073556?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-agentic-ai-platform-engineer-04f6c579-5ce/

## Description

CVS Health is seeking a Senior Agentic AI Platform Engineer to join the AI/ML Solutions Delivery organization. The successful candidate will build foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions.

**Key Responsibilities:**

- Design, develop, and maintain reusable platform components, accelerators, pipelines, agent harnesses, and shared services using a combination of pre-built frameworks and custom-developed software across Google Vertex AI, ServiceNow AI, Databricks, and Claude-based ecosystems.

- Build foundational capabilities supporting enterprise AI development, including RAG frameworks, vector-enabled architectures, evaluation frameworks, orchestration services, model integration patterns, and reusable engineering accelerators.

- Own platform capabilities throughout their lifecycle, including architecture, versioning strategy, production hardening, performance optimization, adoption support, and continuous enhancement.

- Implement secure-by-design platform patterns incorporating AI governance, access controls, data privacy protections, prompt injection safeguards, resiliency mechanisms, failover strategies, and graceful degradation capabilities.

- Partner with AI Solutions Architects, Product Delivery teams, Architecture, Security, and Operations organizations to drive platform adoption, provide onboarding and technical guidance, and mentor interns and contractor resources.

**Required Qualifications:**

- 5+ years building AI/ML platforms, developer platforms, shared engineering frameworks, or enterprise-scale software solutions with increasing technical ownership and responsibility.

- Proven success over 4+ years developing reusable platform capabilities, accelerators, tooling, or shared services that achieved adoption across multiple engineering teams within enterprise environments.

- 3+ years of hands-on experience building solutions on Google Vertex AI, Azure AI, ServiceNow AI, Databricks, or similar cloud AI platforms supporting production workloads.

- 2+ years designing and implementing retrieval-augmented generation (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 in fast-paced delivery environments.

**Preferred Qualifications:**

- Strong full-stack and Python engineering expertise including production-grade development, API and microservice architecture, FastAPI, Docker, pytest, CI/CD practices, and cloud-native application design.

- Experience building agentic AI solutions utilizing Claude or similar large language models, including tool use, function calling, agent orchestration, Model Context Protocol (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, data engineering practices including SQL, schema migration tooling, ETL pipelines, and bronze, silver, and gold data architectures.

- Experience supporting healthcare, pharmacy, cybersecurity, AIOps, or other regulated environments, with exposure to MLOps, LLMOps, Cloud SQL, Cloud Functions, IAM, and the ability to apply pragmatic technical judgment when selecting between AI-powered and traditional automation approaches.

**Benefits:**

- Medical, dental, and vision coverage

- Paid time off

- Retirement savings options

- Wellness programs

- Other resources, based on eligibility

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## Skills

### Required
- Google Vertex AI
- ServiceNow AI
- Databricks
- Claude
- Python
- APIs
- cloud-native services
- RAG frameworks
- vector-enabled architectures
- evaluation frameworks
- orchestration services
- model integration patterns

### Nice to have
- FastAPI
- Docker
- pytest
- CI/CD practices
- cloud-native application design
- agentic AI solutions
- large language models
- prompt engineering
- context engineering
- retrieval engineering
- chunking strategies
- embedding models
- vector databases
- retrieval tuning
- reranking
- caching strategies
- document ingestion and parsing frameworks
- data engineering practices
- SQL
- schema migration tooling
- ETL pipelines

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Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/CT---Work-from-home/Senior-Agentic-AI-Platform-Engineer_R1073556?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)