AI Engineer Lead

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

Job Summary –

We are seeking a skilled AI Engineer lead with AI and ML experience for Sunnyvale, CA location

Job Summary –

We are seeking a skilled AI Engineer lead with AI and ML experience for Sunnyvale, CA location

Experience Required

Minimum 8 to 10 years of experience as AI engineer lead

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
• 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/GCP)
• 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

4. 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

Behavioral Skills

• Excellent Communication skills and collaboration skills
• Ability to propose and implement improvements in the system
• Ability to work with cross-functional stakeholders

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to [e-mail] and let us know your contact information and the nature of your request.

Other Details

Salary range $63000 to $134500