Technical Lead

Please find below the details for the Senior GenAI Technical Lead position.

Position: Senior GenAI Technical Lead

Experience: 10+ Years

Location: Kochi & Hyderabad

Employment Type: [Contract to Hire]

Notice Period: Immediate / Short Notice Preferred

Job Description

We are looking for an experienced Senior GenAI Technical Lead with strong hands-on expertise in designing and delivering production-grade Generative AI solutions. The ideal candidate should have deep experience in RAG architecture, AI evaluation, prompt engineering, enterprise AI platforms, and technical leadership.

Key Responsibilities

• Lead the technical solution approach for client-facing and cross-organisational GenAI engagements.
• Design and deliver production/pilot-grade Generative AI solutions with a strong focus on scalability, reliability, and quality.
• Architect and optimize document-scale RAG solutions, including chunking, indexing, embeddings, retrieval tuning, reranking, grounding, and source attribution.
• Analyze and troubleshoot retrieval failures and improve overall response quality.
• Design and operate AI evaluation frameworks using golden datasets, rubric-based scoring, LLM-as-a-Judge, human review loops, and regression testing.
• Develop advanced prompt strategies including system/task prompts, few-shot patterns, templates, context management, task decomposition, chaining, and structured outputs.
• Configure and extend existing AI-enabled enterprise applications using their established extension models.
• Work hands-on with enterprise AI platforms such as OpenAI, Azure OpenAI, GitHub Copilot, Databricks, or equivalent technologies.
• Identify and address GenAI failure modes including hallucinations, non-determinism, prompt drift, context loss, and silent quality degradation.
• Establish engineering practices for maintaining AI solution quality, traceability, and reliability.
• Collaborate with senior stakeholders across the US and Europe and communicate technical decisions clearly.
• Independently own technical outcomes while working in an agile and iterative environment.

Mandatory Skills

• 10+ years of experience in Software, Data, or AI Engineering.
• Minimum 4+ years of hands-on experience delivering production/pilot-grade GenAI solutions.
• Proven experience as a Technical Lead / AI Technical Lead / AI Architect in a client-facing or cross-organisational engagement.
• Strong hands-on experience with RAG architecture and document-scale retrieval systems.
• Strong understanding of:
• Chunking and indexing strategies
• Embeddings
• Retrieval optimization
• Reranking
• Grounding
• Citation/source attribution
• Experience designing GenAI evaluation frameworks and regression processes.
• Strong prompt engineering expertise.
• Hands-on experience with Python or equivalent programming language.
• Experience with OpenAI / Azure OpenAI / Databricks / GitHub Copilot or comparable enterprise AI platforms.
• Strong understanding of GenAI failure modes and mitigation techniques.
• Strong Git and software engineering practices.
• Excellent written and verbal communication skills.
• Ability to drive technical decisions independently and challenge solutions constructively.

Preferred Qualifications

• Experience with AI-assisted long-form document authoring, structured content authoring, or evidence synthesis.
• Prior experience in Life Sciences / Pharmaceutical / Biotechnology domains.
• Experience in medical writing, regulatory authoring, HEOR, or market access.
• Knowledge of Agentic AI, Knowledge Graphs, and multi-step reasoning architectures.
• Exposure to regulated or GxP-adjacent environments.
• Experience integrating GenAI solutions with SharePoint, Document Management Systems, Smartsheet, Power Automate, or UiPath.
• Experience defining AI engineering standards and practices for a team.
• Exposure to model fine-tuning, distillation, or evaluation-harness tooling.