AI consulting lead

Go Digit General Insurance · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 1:07 am IST. This is not a manual review or a confirmation from the employer.

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Collected role description

Group Company: Go Digit General Insurance Limited Designation: Senior Engineer - AI <div style="border:0px;font-size:15px;line-height:inherit;font-family:'Segoe UI', '-apple-system', BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif;margin:0px;padding:0px;vertical-align:baseline;color:rgb(36,36,36);">AI Engineer – GenAI & Automation (Builder Role)</div><div style="border:0px;font-size:15px;line-height:inherit;font-family:'Segoe UI', '-apple-system', BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif;margin:12pt 0px;padding:0px;vertical-align:baseline;color:rgb(36,36,36);">Location: Bangalore Work Mode: #LI-Onsite All 5 Days work from Office</div><div class="x_x_x_MsoNormal" align="center" style="border:0px;font-size:12pt;line-height:15pt;font-family:Aptos, sans-serif;margin:0in;padding:0px;vertical-align:baseline;color:rgb(36,36,36);text-align:center;"><hr size="2" width="100%" align="center" /></div><div style="border:0px;font-size:15px;line-height:inherit;font-family:'Segoe UI', '-apple-system', BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif;margin:0px;padding:0px;vertical-align:baseline;">Total Experience Range4–8 years, including at least 1–2 years as a BA / product owner on an AI, ML, GenAI, or automation project — end to end, from requirements through go-live. General BA experience with only peripheral AI exposure does not meet this bar.Skill Set — Must-Have<ul style="color:rgb(36,36,36);"><li>Proven ownership of at least one AI/ML/GenAI/automation system from requirements through production</li><li>Working conceptual fluency in GenAI/LLM systems: RAG, prompt engineering, agentic workflows, hallucination and grounding, model evaluation</li><li>Requirements elicitation and solution design applied specifically to non-deterministic systems: defining input/output contracts, edge cases, confidence thresholds, escalation paths, and acceptance criteria for outputs that won’t be identical every time.</li><li>Hands-on SQL and API integration experience, for validating data flows and system behavior directly rather than relying on engineering to confirm it.</li><li>Experience defining evaluation/test frameworks for AI systems — accuracy, latency, hallucination rate, and business KPIs like TAT reduction or automation efficiency.</li><li>Exposure to MLOps/LLMOps concepts (monitoring, feedback loops, retraining triggers) from a product/BA vantage point, not necessarily hands-on.</li><li>Conceptual familiarity with vector databases, LangChain/LangGraph, or comparable GenAI tooling.</li><li>Knowledge of at insurance process would be preferred.</li><li>Excellent communication skills, fluent in both directions: with business stakeholders (Sales, Underwriting, Actuary, Operations, Claims, Finance) and engineering team.</li></ul>Educational Qualifications: - BTech in CS/IT/MTech/MBA</div><div class="x_x_x_MsoNormal" align="center" style="border:0px;font-size:12pt;line-height:15pt;font-family:Aptos, sans-serif;margin:0in;padding:0px;vertical-align:baseline;color:rgb(36,36,36);text-align:center;"><hr size="2" width="100%" align="center" /></div><div style="border:0px;font-size:15px;line-height:inherit;font-family:'Segoe UI', '-apple-system', BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif;margin:0px;padding:0px;vertical-align:baseline;color:rgb(36,36,36);"> </div>

Collected experience requirement

3 - 6 Years