Lead AI Engineer

Maplecroft; Hyderabad; Hybrid; INR 2,400,000 - 3,800,000; Full time

Benefits offered by this job

Short Term Incentive

Job summary

Verisk Hyderabad is seeking an experienced Technical AI Engineer to design scalable AI workflows and integrate autonomous agents into real-world business solutions. You will drive architecture across LLMs, multi-agent coordination, and orchestration pipelines with governance and responsible AI practices.

The role requires 6–8 years in full-stack development, strong Python, and hands-on experience with Generative AI, RAG pipelines, and API design.

Qualifications

• 6–8 years of software development experience with mentorship/leadership.
• At least 2 years building Generative or agentic AI systems.
• Strong Python and backend engineering fundamentals.

Responsibilities

• Architect and design production-ready AI applications.
• Build, deploy, and monitor intelligent AI workflows.
• Integrate AI with existing systems and services.
• Develop evaluation pipelines for accuracy, safety and performance.
• Mentor developers and promote best practices in AI engineering.
• Collaborate with product, data, and software teams to deliver AI features.
• Ensure reliability through testing, logging, and observability.

Skills

Python

REST APIs

LLM APIs

Vector search

RAG pipelines

AI governance

Distributed systems

Analytical thinking

Education

Bachelor's degree in CS

Tools

Docker

Kubernetes

Git

CI/CD

Job description

• Job Category Technical Product Development
• Posting Date 09/16/2026, 10:58 AM
• Job Schedule Full time
• Short Term Incentive Yes
• Long Term Incentive No
• Commission No
• Work Arrangement Hybrid
• Budgeted Salary Currency INR
• Division Underwriting Solutions

Job Description

You will design scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions.

Responsibilities

• Architect and Design production-ready applications leveraging Generative AI and agentic AI frameworks.
• Build, Deploy and Monitor intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.
• Integrate new AI applications with traditional pre-existing applications.
• Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.
• Implement various AI coding techniques (context-driven, spec-driven development etc.).
• Architect and implement AI agents capable of reasoning, planning, and multi-step task execution.
• Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.
• Provide mentoring and technical guidance to developers and other AI Engineers.
• Develop evaluation pipelines to measure accuracy, safety, and performance of AI systems.
• Optimize latency, cost efficiency, and scalability of AI-powered workflows.
• Collaborate with product managers, data teams, and software engineers to deliver AI features.
• Ensure reliability through testing, logging, monitoring, and observability of AI behavior.
• Own architectural decisions, coding standards, and best practices.
• Act as an AI trailblazer for development teams by promoting best practices, reusable patterns, and adopting AI-driven engineering approaches.
• Apply AI governance principles to ensure responsible model usage, auditability, and transparency in AI workflows.
• Support implementation of governance controls related to data handling, model behavior monitoring, and risk mitigation.
• Research emerging AI tools and frameworks to continuously improve system capabilities.
• Document AI workflows and maintain reproducible engineering processes.

Qualifications

• 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.

About Us

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 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 : Explore our inclusive, people‑first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : 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.

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.