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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, architecture, and deployment of complex AI Assistants, AI Agents, and automation using ChatGPT, Copilot Studio, and Power Automate in Food APAC technology stack.
Own scalable Python microservices, APIs, LLMOps/AgentOps tooling, including retrieval and vector search pipelines, ensuring secure, reliable, and cost-efficient AI services from experiment to production.
Manage monitoring, incident response, and collaborate cross-functionally while ensuring adherence to enterprise architecture, governance, cybersecurity, and Responsible AI standards.
Minimum Requirements
Minimum 4 years relevant work experience, typically 5+ years preferred.
At least 3 years experience working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP.
Proficiency in Python, cloud-native technologies, APIs, CI/CD, containerization, LLM/RAG frameworks, and AI platforms such as Copilot Studio, ChatGPT, Power Automate.
Work Experience Required: Minimum 4 years relevant experience; notice period not explicitly mentioned.
Ideal Candidate Profile
Experienced technical leader capable of translating complex AI product requirements into scalable, secure, and efficient services in enterprise environments.
Strong background in designing and implementing AI/GenAI automation solutions, including multi-agent systems and vector search architectures.
Comfortable operating in a cross-functional, regulated enterprise environment with focus on operational excellence, security, and adherence to Responsible AI governance.