Senior Platform Engineer - Enterprise AI
Core
Design, develop, and implement secure, scalable Model Context Protocol (MCP) capabilities and platforms to enable AI agents and LLMs to connect with enterprise applications and data.
Role type
Senior Platform Engineer (Enterprise AI)
Builds
Secure MCP gateways, control planes, and multi-cloud integration patterns for enterprise AI agents.
Domain
Healthcare technology, Enterprise AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Model Context Protocol (MCP), AI agents, LLMs, RAG, agentic AI architectures, AWS, Microsoft Azure, Kubernetes, CI/CD, infrastructure-as-code, Zero Trust security, IAM, OAuth/OIDC, RBAC/ABAC, enterprise APIs, microservices, distributed systems
Preferred skills
Enterprise generative AI or agent platforms, MCP clients/servers/gateways, API management, service mesh, multi-cloud architectures, OpenTelemetry, responsible AI governance
Technologies
AWS, Azure, Kubernetes, MCP, OpenTelemetry
Responsibilities
Lead enterprise MCP strategy, architecture, and roadmaps; Design and operate scalable MCP platforms; Establish MCP gateway and control plane capabilities; Develop standardized deployment patterns across multi-cloud environments; Implement Zero Trust security and identity management; Define secure AI agent integration patterns; Establish MCP governance and operational reliability standards; Develop reusable frameworks and CI/CD pipelines.
Seniority
Senior, hands-on IC
