Job Responsibilities：
Requirements Analysis & Business Alignment: Collaborate with business teams to analyze requirements, translating business needs into feasible Agentic AI solution specs; Validate requirement feasibility with stakeholders, aligning solution design with business goals.
Agentic AI Solution Architecture Design & Documentation: Design comprehensive, reusable Agentic AI solution architectures (data flows, model integration, tool use, orchestration, monitoring); Compile and maintain clear, developer-friendly architecture design docs.
Technical Standards Formulation & Implementation Oversight: Establish and maintain a repository of approved Agentic AI design patterns, technical standards, coding guidelines, and blueprints; Oversee standard implementation to drive standardized development, ensuring solution consistency and quality.
Technology Partner Ecosystem Management: Lead onboarding of key tech vendors/platforms (per DT/IT whitelist, e.g., LLM, agent dev vendors); Manage ongoing technical partner relationships to support Agentic AI solution development.
Technical Guidance & Architecture Review: Provide hands-on architectural guidance to function teams for Agentic AI development; Conduct formal architecture reviews for major initiatives to ensure standard compliance.
Job Requirements:
Mastery of cloud-native architecture (AWS, Azure, GCP), microservices, and APIs.
Deep technical knowledge of AI/ML Ops, LLM APIs, and prompt engineering.
Strong ability to create clear technical documentation and communicate complex designs to diverse audiences.
Proven vendor and partner management experience.
Strategic thinking balanced with practical, hands-on problem-solving.
Requirements Analysis & Business Alignment: Collaborate with business teams to analyze requirements, translating business needs into feasible Agentic AI solution specs; Validate requirement feasibility with stakeholders, aligning solution design with business goals.
Agentic AI Solution Architecture Design & Documentation: Design comprehensive, reusable Agentic AI solution architectures (data flows, model integration, tool use, orchestration, monitoring); Compile and maintain clear, developer-friendly architecture design docs.
Technical Standards Formulation & Implementation Oversight: Establish and maintain a repository of approved Agentic AI design patterns, technical standards, coding guidelines, and blueprints; Oversee standard implementation to drive standardized development, ensuring solution consistency and quality.
Technology Partner Ecosystem Management: Lead onboarding of key tech vendors/platforms (per DT/IT whitelist, e.g., LLM, agent dev vendors); Manage ongoing technical partner relationships to support Agentic AI solution development.
Technical Guidance & Architecture Review: Provide hands-on architectural guidance to function teams for Agentic AI development; Conduct formal architecture reviews for major initiatives to ensure standard compliance.
Job Requirements:
Mastery of cloud-native architecture (AWS, Azure, GCP), microservices, and APIs.
Deep technical knowledge of AI/ML Ops, LLM APIs, and prompt engineering.
Strong ability to create clear technical documentation and communicate complex designs to diverse audiences.
Proven vendor and partner management experience.
Strategic thinking balanced with practical, hands-on problem-solving.