Senior Agentic AI Platform Engineer
Core
Design, develop, and operationalize reusable platform components, accelerators, pipelines, and agent harnesses to enable enterprise-scale adoption of agentic AI solutions.
Role type
Senior full-stack platform engineer (agentic AI)
Builds
Reusable platform capabilities, RAG frameworks, vector-enabled architectures, orchestration services, and agent harnesses
Domain
Healthcare / Agentic AI / Cloud-native platforms
Deliverable
production ML models
Required skills
AI/ML platform development, reusable framework design, Google Vertex AI, Azure AI, ServiceNow AI, Databricks, RAG architectures, agentic AI design, vector search, LLM integration, distributed systems, AI governance, Python, API design, microservices, Docker, CI/CD
Preferred skills
Claude-based ecosystems, Model Context Protocol (MCP), prompt engineering, retrieval engineering, document ingestion frameworks, ETL pipelines, MLOps, LLMOps, SQL, schema migration
Technologies
Google Vertex AI, ServiceNow AI, Databricks, Claude, Python, FastAPI, Docker, pytest, pgvector, Cloud SQL, Cloud Functions, IAM
Responsibilities
Design and maintain reusable platform components and agent harnesses; Build foundational capabilities for enterprise AI development including RAG and vector architectures; Own platform lifecycle including architecture, versioning, and production hardening; Implement secure-by-design patterns with AI governance and resiliency; Partner with architects and delivery teams to drive platform adoption and mentor contractors.
Seniority
Senior, hands-on IC with technical leadership
