Manager, Generative AI

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.

• 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.

• 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.

• 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.