M
AI Engineer Lead
Mphasis Corporation
3 hours ago
Full-time
On-site
Sacramento, California, United States
Job Description
AI Engineer Lead
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:
1. 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
2. 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
3. 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
5. Deep understanding of zero-trust architecture, API security, and identity federation
6. Hands-on experience with CI CD pipeline design, GitOps workflows, and release engineering
7. 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 accomodationrequest@mphasis.com and let us know your contact information and the nature of your request. Other details Salary range $63000 to $134500
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. VEVRAA Federal Contractor. We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state. PDN-a2cd8529-9e1d-49eb-9ca9-bd43a74a7060
AI Engineer Lead
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:
1. 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
2. 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
3. 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
5. Deep understanding of zero-trust architecture, API security, and identity federation
6. Hands-on experience with CI CD pipeline design, GitOps workflows, and release engineering
7. 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 accomodationrequest@mphasis.com and let us know your contact information and the nature of your request. Other details Salary range $63000 to $134500
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. VEVRAA Federal Contractor. We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state. PDN-a2cd8529-9e1d-49eb-9ca9-bd43a74a7060