Senior AI Engineer

Job Description

Seeking a Staff level AI Engineer to roadmap, design, build, and operationalize scalable, secure, and responsible Generative AI solutions across the affiliate line of business. In this role, you will work across AWS Bedrock, GCP Vertex AI, serverless compute, event driven architectures, vector search, and agentic frameworks to deliver AI systems that accelerate business outcomes and improve experiences for our members, providers, and colleagues.

This role blends hands-on engineering with architecture, platform leadership, and cross functional collaboration in a HIPAA regulated environment.

AI & Cloud Engineering

• Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP Vertex AI capabilities (models, tuning, pipelines, vector search, guardrails, evaluation).

• Build cloud-native AI systems using:

• Serverless architectures (AWS Lambda, Step Functions, EventBridge; Cloud Functions, Cloud Run)

• Event-driven architectures (SNS/SQS, Pub/Sub, EventBridge, triggers)

• Microservices and APIs (Node.js, Java, Python)

Agentic Frameworks & Automation

• Architect agentic AI systems using Bedrock Agents, Vertex AI Agent Builder, or approved frameworks (LangGraph, LangChain, LlamaIndex Agents).

• Deliver multi-step reasoning, tool-use, and workflow orchestration for enterprise use cases.

RAG Architectures

• Develop robust Retrieval-Augmented Generation (RAG) systems using Bedrock Knowledge Bases, Vertex AI Vector Search, or custom vector databases (OpenSearch, Pinecone, FAISS, pgvector).

• Design document ingestion, embedding, chunking, grounding, and retrieval pipelines that integrate securely with enterprise data.

Responsible AI & Compliance

• Ensure all solutions meet CVS Health's Responsible AI standards, including model documentation, governance, risk assessment, and auditability.

• Design systems that adhere to HIPAA, data privacy, and security requirements.

Collaboration & Technical Leadership

• Partner with product, engineering, data, security, and compliance teams to shape roadmaps and solution direction.

• Mentor engineers and contribute reusable patterns, frameworks, and platform accelerators.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 8+ years overall software engineering experience, with recent enterprise experience working with Agentic AI frameworks and RAG architecture.

• 5+ years solution architecture or system design experience (building large-scale microservices/APIs using Node.js).

• Strong knowledge of prompt engineering, evaluation, observability, and LLM security patterns.

• Experience with Vertex AI's Generative AI Studio, vector search orchestration, and agent capabilities (Model Garden, Extensions/Agents, Vector Search, Pipelines, Tuning).

• Production experience with AWS (serverless, event-driven, AI/ML, CI/CD), and AWS Bedrock (any combination of models, agents, knowledge bases, guardrails, tuning, evaluation).

• Strong communication and leadership skills.

• Ability to write clear design docs, architectural diagrams, runbooks, and technical briefs. - Cloud certifications (AWS/GCP) preferred.