AI Platform Lead — Enterprise Systems & Gen AI

Mphasis; California (MO); On-site; USD 63,000 - 135,000; Full time

Job summary

Mphasis in Sunnyvale, CA is seeking an AI Engineer lead with strong AI/ML experience. You will lead architecture, guide engineering teams, and craft scalable API-first systems. The role emphasizes service decomposition, modernization, and Gen AI readiness across enterprise ecosystems.

Ideal candidates will excel in observability, cross-cloud delivery, and transitioning monoliths to reusable services while partnering with global teams to drive a platform-first mindset.

Qualifications

• Extensive experience building enterprise-grade systems.
• Experience with microservices, APIs, and event-driven architectures.
• Experience with cloud platforms (AWS/Azure/GCP).
• Leadership of engineering teams delivering production-grade systems.
• Domain-driven design and service decomposition experience.
• Modernization of legacy systems using strangler pattern.
• Experience with MCP servers and Gen AI agents.
• Designing for agent-based, AI-driven ecosystems.
• Observability, tracing, logging, and metrics mastery.
• CI/CD, GitOps, release engineering expertise.

Responsibilities

• Lead service rationalization and decomposition across complex 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 legacy modernization with incremental approaches.
• Partner with global teams to promote a platform-first mindset.
• Build systems ready for AI agents and future integrations.

Skills

Microservices

APIs REST/GraphQL

Event-driven

Cloud platforms

DDD

Service decomposition

Monolith modernization

Gen AI agents

Agent-ready platforms

Observability

CI/CD

Distributed design

Communication skills

Tools

Kafka

Job description

Mphasis in Sunnyvale, CA is seeking an AI Engineer lead with strong AI/ML experience. You will lead architecture, guide engineering teams, and craft scalable API-first systems. The role emphasizes service decomposition, modernization, and Gen AI readiness across enterprise ecosystems.

Ideal candidates will excel in observability, cross-cloud delivery, and transitioning monoliths to reusable services while partnering with global teams to drive a platform-first mindset.