Manager, Generative AI

INSURANCE SERVICES OFFICE INC; Jersey City (NJ); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Verisk ISO Corelines in the United States is seeking a highly technical Manager, Generative AI to lead a globally distributed team of engineers responsible for developing production-grade GenAI products. This role combines software engineering and AI leadership to define technical direction and translate business opportunities into scalable GenAI solutions.

You will guide architecture decisions on LLMs, RAG, and model fine-tuning, drive observability and security, and partner with product owners

Qualifications

• 7+ years of industry experience in software, data science, or ML.
• 2+ years hands-on GenAI/LLM delivery experience.
• Experience building large-scale production software and data platforms.
• Strong Python and cloud-native deployment skills.

Responsibilities

• Lead and develop globally distributed engineering teams with hands-on leadership.
• Architect and deliver production-grade GenAI products with quality and cost efficiency.
• Guide decisions on LLMs, RAG, fine-tuning, and prompt engineering.
• Establish GenAI evaluation, testing, observability, and production monitoring.
• Translate business needs into technical requirements and delivery plans.
• Promote engineering best practices across the GenAI lifecycle.
• Communicate decisions and risks to engineers and executives.

Skills

GenAI leadership

Hands-on GenAI

Python

Cloud-native

AI architecture

Communication

Education

Bachelor's in Computer Science / Software Engineering / ML

Tools

LLMs tooling

Job description

Verisk ISO Corelines

is seeking a highly technical Manager, Generative AI to lead a globally distributed team of engineers responsible for developing and delivering production‑grade Generative AI products. This is a hands‑on technical leadership role combining strong software engineering and AI/ML expertise with people leadership. You will help define the technical direction for GenAI capabilities, translate business opportunities into scalable solutions, and lead products from concept and experimentation through production deployment.

What you’ll do

• Lead and develop globally distributed engineering teams through hands‑on technical leadership, performance management, mentoring, and coaching.
• Lead the architecture, design, development, and delivery of production‑grade GenAI products, ensuring quality, security, scalability, reliability, performance, and cost effectiveness.
• Guide technical decisions involving LLMs, RAG, model fine‑tuning/customization, prompt engineering, and agentic AI patterns.
• Establish effective approaches for GenAI evaluation, testing, observability, and production monitoring, including measurement of quality, groundedness, and reliability.
• Evaluate foundation models, AI platforms, and emerging technologies and make appropriate architecture, model‑selection, and build‑vs‑buy decisions.
• Partner with Product Owners and business stakeholders to translate business needs into technical requirements, architectures, and delivery plans.
• Drive engineering best practices across the GenAI development lifecycle and resolve complex technical and delivery challenges.
• Communicate technical decisions, tradeoffs, project status, risks, and priorities effectively with engineering teams and senior stakeholders.

What you bring

• 7+ years of industry experience in software engineering, data science, or machine learning, including technical leadership experience.
• 2+ years of hands‑on experience building and delivering Generative AI/LLM solutions, preferably production applications.
• Proven experience architecting and operating large‑scale production software, AI/ML systems, and/or data platforms.
• Strong understanding of LLMs, embeddings, RAG, prompt engineering, context management, and modern GenAI architectures.
• Strong Python skills and experience with modern AI/ML and GenAI frameworks and tooling.
• Experience with cloud‑native architectures and production deployment of scalable applications.
• Strong understanding of GenAI evaluation, testing, monitoring, security, and responsible AI practices.
• Ability to translate business requirements into technical solutions and communicate complex technical decisions to both engineering and executive audiences.
• Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.

Preferred Qualifications

• Hands‑on experience fine‑tuning or adapting LLMs , including techniques such as SFT, LoRA/PEFT, instruction tuning, or related approaches, with experience preparing training datasets and evaluating fine‑tuned models against appropriate baselines.

#LI-MB1

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About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you’ll have the chance to use your voice and build a rewarding career that’s as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

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.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

• Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
• Claims Solutions - supports end‑to‑end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
• Property and Restoration Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day‑to‑day workflows the most efficient
• Specialty Business Solutions - provides an integrated suite of software for full end‑to‑end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
• Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
• Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
• Life Insurance Solutions - offers end‑to‑end, data insight‑driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
• Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

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/

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