AI Lead Developer (Generative AI / Agentic AI)

Role Objective

Drive the design, development, and industrialization of Generative AI and Agentic AI solutions in a global, high-tech enterprise setting. This role owns the journey from PoC → MVP → production with enterprise-grade quality: security, scalability, reliability, observability, and governance.

Key Responsibilities

Technical Leadership & Architecture

• Define solution architecture for GenAI/agentic capabilities (RAG, tool/function calling, orchestration, guardrails).
• Make design decisions balancing quality, latency, cost, and compliance; produce lightweight architecture artifacts and decision logs.

Hands-on Delivery (Prototype to Production)

• Build and deploy production-ready GenAI services/APIs (microservices) and reusable components (accelerators, templates, SDKs).
• Implement data ingestion + retrieval pipelines (chunking, embeddings, indexing) and integrate enterprise data sources.
• Establish evaluation approach (benchmarks, regression tests, golden datasets) and manage prompt/model versioning.

LLMOps / Platform Enablement

• Implement CI/CD, automated testing gates, rollout strategies, monitoring/logging/tracing, and operational runbooks.
• Support incident/change workflows and ensure production readiness (SLOs, resiliency, cost controls).

Security, Privacy & Responsible AI

• Implement controls for PII protection, access management, auditability, prompt-injection mitigation, safety filters, and governance alignment.

Collaboration & Mentoring

• Partner with product, architecture, data, and security stakeholders; translate requirements into backlog and deliverables.
• Mentor engineers and align distributed/global teams on standards and delivery practices