What are the responsibilities and job description for the AI Platform Engineering Lead (Enterprise Architecture & GenAI) position at ProCorp Systems Inc.?
Title: AI Lead Engineer
Location : Sunnyvale, CA ( 3 days work from office)
Experience- 10 15 Years
Need AI Engineering Lead candidates with past Apple experience would have an edge people who know Endor, AppleConnect, familiar with Apple ecosystem.
Responsibilities / Experience:
- Lead service rationalization and decomposition across complex enterprise ecosystems
- Design and build API-first, event-driven architectures
- Contribute hands-on to domain services, integrations, and POCs
- Enable service reuse through catalogs, standards, and governance
- Drive incremental legacy modernization (strangler pattern)
- Partner across global teams to influence a platform-first mindset
- Build systems ready for AI agents, automation workflows, and future integrations
Qualifications/Required Skills:
- Strong Engineering & Architecture Execution (10 years)
- Deep hands-on experience building and delivering production-grade systems in enterprise environments
- Expertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/Google Cloud Platform)
- Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset
Service Decomposition & Enterprise Modernization
- Strong experience with domain-driven design (DDD), service decomposition, and distributed system design
- Hands-on track record breaking down monoliths/fragmented systems into reusable service layers
- Experience leading modernization efforts using incremental approaches (e.g., strangler pattern) with a focus on reuse, scalability, and clean service boundaries
MCP Servers & Gen AI / Agent-Based Systems
- Proven experience building MCP server-based solutions and Gen AI agents from concept through production
- Strong understanding of designing systems for an agentic, AI-driven ecosystem
- Ability to integrate AI into service architectures and make platforms agent-ready for future automation and intelligence
- Experience designing observability strategies: distributed tracing, structured logging, metrics dashboards
- Deep understanding of zero-trust architecture, API security, and identity federation
- Hands-on experience with CI/CD pipeline design, GitOps workflows, and release engineering
- Ability to make and communicate well-reasoned architectural trade-offs.
Preferred Skills:
- Expertise with Claude Code or similar AI-assisted development tools
- Experience building service catalogs / internal developer platforms
- Background in highly distributed, multi-region enterprise environments
- Exposure to AI-driven automation workflows at scale