Live opening · Posted 14 hours ago
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Position: Senior GenAI Technical Lead
Experience: 10+ Years
Location: Kochi & Hyderabad
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 independently drive technical decisions 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.
Work arrangement
No
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