Lead AI Engineer at Verisk Financial

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

0.0

Posted On

26 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Agentic AI, Python, Dotnet, React, LLM APIs, RAG Pipelines, Vector Search, RESTful APIs, System Design, AWS, Docker, Kubernetes, CI/CD, AI Governance, Backend Engineering

Industry

Information Services

Description

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. Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk [https://www.verisk.com/company/about/] and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. Our Culture [https://www.verisk.com/company/csr/social/our-culture/]: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition [https://www.verisk.com/company/newsroom/topics/culture/]: See why Verisk is consistently recognized as a Great Place to Work™ around the world. Our Businesses [https://www.verisk.com/solutions/]: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. Life at Verisk [https://www.linkedin.com/company/verisk-analytics/life]: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk [https://www.verisk.com/company/careers/]: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ [https://www.verisk.com/company/careers/] Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice [https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf]

Responsibilities

Architect and build production-grade AI systems using large language models and intelligent agents. Design scalable AI workflows and integrate autonomous agents into real-world business solutions.