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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end architecture and delivery of an AI-assisted migration platform including design, AI-in-the-loop integration, and Azure cloud infrastructure.
Drive AI/ML strategy decisions such as build-vs-buy, model selection, fine-tuning, cost/latency trade-offs, and define evaluation metrics for model fidelity and gap-analysis.
Lead and mentor a 3–8 person AI/automation engineering team; manage stakeholder relationships, production risk, security review, and prioritize client escalations.
Minimum Requirements
Proficient in Node.js/TypeScript or Python programming with XML/JSON parsing experience.
Experience with LLM API integration (Anthropic, OpenAI, Azure OpenAI) and prompt engineering for structured output.
Familiarity with Azure cloud services including App Services, Functions, Key Vault, and Azure AD authentication flows.
Minimum Education: B.E/B.Tech/M.Sc. in Computer Science or MCA. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building complex AI/LLM integration systems with practical knowledge of agent design and evaluation harnesses for model output quality.
Skilled in leading mid-sized technical teams and collaborating with cross-functional stakeholders including customer IT teams.
Proficient in developing API and ecosystem integrations such as REST APIs, webhooks, and Azure CLI-based authentication, aligned with cloud architecture.