Lead AI Engineer
Verisk
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This role on the market
6,248 open AI roles across 826 companies are on ApplySarthi right now, most of them in Bengaluru (373), Hyderabad (138), Delhi NCR (60).
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What AI roles keep asking for: LLMs (35%), Python (34%), AWS (23%), Machine learning (21%), Generative AI (21%), Observability (17%), RAG (15%), CI/CD (14%) — counted across their open postings here.
AI Engineer jobs in Hyderabad · AI Engineer jobs in India · Remote AI Engineer jobs · AWS jobs · CI/CD jobs · Docker jobs · Generative AI jobs
Verisk has 149 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for AI roles keep coming back to LLMs, Python, AWS, Machine learning. Practise those questions before you sit with Verisk.
Questions you are likely to be asked
- Why do you want to join Verisk?
- What is your experience with System design? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Lead AI Engineer at Verisk interview free →We are seeking a Lead AI Engineer with strong software engineering foundations and hands-on experience in Generative and Agentic AI. In this role, you will architect, design and build production-grade AI systems powered by large language models and intelligent agents. You will design scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions. • 8+ years of professional software development experience (Dotnet/React/Full-stack) with mentorship/team leadership experience. • Minimum 2 years of hands-on experience building applications using Generative AI or agentic AI systems. • Strong proficiency in Python and backend engineering principles. • Experience designing RESTful APIs and scalable service architectures. • Practical experience with LLM APIs, embeddings, vector search, or RAG pipelines. • Working knowledge of AI governance principles, responsible AI practices, or compliance considerations. • Familiarity with agent frameworks and autonomous decision workflows. • Understanding of data structures, system design, and performance optimization. • Strong analytical thinking and problem-solving skills. Preferred Qualifications • Experience deploying AI applications in cloud environments (preferably AWS). • Familiarity with vector databases and knowledge retrieval architectures. • Experience working with Git, CI/CD pipelines, and production deployments. • Exposure to containerization and orchestration tools (Docker, Kubernetes). • Experience implementing evaluation or monitoring pipelines for AI agents. • Knowledge of AI safety, guardrails, and responsible AI practices. • Knowledge of distributed systems or event-driven architecture.
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Listed on oraclehcm · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Verisk, not by us.