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Job Description
Structured overview of role & requirementsAbout This Role
Own technical delivery of CSP’s agent interoperability capability, including reusable APIs, MCP servers, and agent interaction patterns.
Drive consistent engineering practices, architecture alignment, and engineering standards across multiple squads for agentic AI and ML services.
Mentor senior engineers and partner with Product, Architecture, and Engineering leadership to influence scalable solutions and ensure adherence to non-functional requirements like security and reliability.
Minimum Requirements
Experience as a senior engineer operating across multiple squads or domains.
Strong MLOps engineering skills including CI/CD for ML and model production operations.
Hands-on expertise with Python, secure APIs, distributed services, container/cloud platforms (Docker, Kubernetes, AWS).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technical leader with proven ability to drive cross-team architecture consistency and solve complex integration challenges.
Hands-on architect with strong non-functional focus on reliability, security, scalability, and performance for AI/ML services.
Experienced mentor who can build technical capability and influence roadmap decisions in collaboration with multiple stakeholders.