Senior Software Engineer | Senior Analyst, Artificial Intelligence (AI)

Overview

You will develop scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions. This position is ideal for engineers who enjoy combining experimentation with disciplined engineering to deliver impactful AI-driven products.

Responsibilities

• Design, develop, and deploy production-ready applications leveraging Generative AI and agentic AI frameworks.
• Build intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.
• Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.
• Implement various AI coding techniques (context-driven, spec-driven development etc.).
• Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.
• 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.
• Contribute to 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.
• Research emerging AI tools and frameworks to continuously improve system capabilities.
• Document AI workflows and maintain reproducible engineering processes.
  
  

• 4+ years of professional software development experience (Dotnet/React/Full-stack).
• 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.
  
  

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.

When you join Verisk, you become part of a diverse global team with over 7,500 professionals in 30 plus countries, making work that matters. We're certified by Great Place to Work, reflecting our commitment to inclusivity, employee engagement, and wellbeing. At Verisk, your growth is a priority—from professional development and tuition benefits to a supportive, flexible workplace culture, we support your continued growth.

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.

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