Hiring: Manager, Generative AI Company: Verisk Location: Jersey City, NJ Job Posted Time: 2026-09-11 11:50:04 Target Skills & Keywords : Fine-tuning, LLM, Machine Learning, Python, RAG About the job Experience: •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. •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. •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. Required Skills: •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. •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. Qualifications: •Proven experience architecting and operating large-scale production software, AI/ML systems, and/or data platforms. •In-depth knowledge 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. •In-depth knowledge of GenAI evaluation, testing, monitoring, security, and responsible AI practices. •Demonstrated capacity 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. •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. •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. •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. Compensation: •$140,000 - $185,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!