Lead AI Engineer
Verisk
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This role on the market
8,479 open AI roles across 1,225 companies are on ApplySarthi right now, most of them in Bengaluru (498), Hyderabad (157), Pune (82).
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What AI roles keep asking for: Python (43%), LLMs (39%), Machine learning (25%), AWS (24%), Generative AI (23%), Observability (19%), RAG (16%), Azure (16%) — 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 165 open roles listed here.
- GL Accountant
- Sr. Software Engineer Ihyderabad
- Service Operations Team Leader
- SDET Ihyderabad
- Data Engineer II
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
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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.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Lead AI Engineer at Verisk interview free →You will design scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions. • 6-8 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 2026-09-16. ApplySarthi collects openings and links to application pages; the role is advertised by Verisk, not by us.