AI Engineer Lead
Mphasis
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Job summary
Mphasis is seeking an AI Engineer Lead in Sunnyvale, CA with 8–10 years of experience to lead enterprise-scale AI/ML initiatives. You will architect and deliver API-first, event-driven solutions, and drive modernization while guiding global teams toward a platform-first mindset.
The role combines hands-on coding with architectural leadership, focusing on reusable service layers, microservices, and Gen AI-enabled systems for scalable AI‑driven workflows.
Qualifications
- Strong Engineering & Architecture Execution (10 to 11 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/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
- 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.
Responsibilities
- 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
Skills
Tools
Job description
We are seeking a skilled AI Engineer lead with AI and ML experience for Sunnyvale, CA location
We are seeking a skilled AI Engineer lead with AI and ML experience for Sunnyvale, CA location
Minimum 8 to 10 years of experience as AI engineer lead
- 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
- Strong Engineering & Architecture Execution (10 to 11 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/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
- 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.
- 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
- Excellent Communication skills and collaboration skills
- Ability to propose and implement improvements in the system
- Ability to work with cross‑functional stakeholders
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.
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. 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 accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.
Salary range $60000 to $117500
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