Role Overview
We are seeking an experienced Technical Lead - Generative AI to lead the design and implementation of enterprise-scale AI solutions within an existing AI platform. The role will own the end-to-end technical approach, including RAG architecture, prompt engineering, evaluation frameworks, retrieval optimization, and AI application configuration, while guiding engineering standards and delivery.

Key Responsibilities
Lead the design and implementation of LLM-powered and RAG-based solutions, including retrieval, grounding, prompt architecture, and evaluation.
Define chunking, indexing, embeddings, reranking, source attribution, and hallucination mitigation strategies.
Design scalable prompt workflows for long-form document generation and structured content authoring.
Establish and maintain AI evaluation frameworks, golden datasets, regression testing, and human review processes.
Make and document key technical decisions and present recommendations to senior stakeholders.
Drive engineering best practices across version control, prompt management, configuration management, and documentation.
Assess technical feasibility, identify risks, and provide solution guidance during requirements definition.
Build automation, data preparation,



and evaluation tooling while extending existing enterprise AI platforms.

Required Qualifications
4+ years of hands-on experience delivering production-grade Generative AI solutions.
Solid experience with LLMs, RAG, Prompt Engineering, AI Architecture, and Evaluation Frameworks.
Deep expertise in retrieval systems, embeddings, vector databases, semantic search, and grounding techniques.
Experience with Azure OpenAI/OpenAI, Databricks, GitHub Copilot, or similar enterprise AI platforms.
Solid Python programming and Git/version control skills.
Proven technical leadership experience managing cross-functional or client-facing AI initiatives.
Excellent communication skills with the ability to influence senior stakeholders.

Preferred Qualifications
Experience in Life Sciences, Pharmaceuticals, Medical Writing, HEOR, or Regulatory Content.
Knowledge of Agentic AI, Knowledge Graphs, and Multi-Agent Architectures.
Experience in regulated environments (GxP, compliance-focused platforms).
Exposure to workflow automation tools such as Power Automate, UiPath, or SharePoint integrations.
Experience with AI model evaluation, fine-tuning, distillation, and AI engineering standards.

📌 Lead Ai Engineer Kochi
🏢 Unlimited Innovations
📍 Kochi