AI Product Engineer - Katch

Job summary

As an AI Product Engineer, you will be forward-deployed with users and internal teams to design, build, and deploy AI-powered solutions using platforms such as Palantir Foundry, Azure AI Foundry, and Databricks Agent Bricks. This is a hands-on, user-facing role that combines technical expertise with problem-solving and business acumen. You will be embedded with Investigations and Recovery teams to understand their challenges, architect solutions, and ensure successful implementation.

Responsibilities

• Collaborate with Investigations and Recovery teams to identify high-impact use cases for AI and data-driven solutions.
• Design, develop, fine-tune, and deploy AI tools for operational and analytical tasks using AI development environments like Palantir Foundry, Azure AI Foundry, and Databricks Agent Bricks.
• Integrate AI solutions with data pipelines and Katch’s subrogation workflow application.
• Ensure compliance with security, governance, and ethical AI standards.
• Create documentation required for AI governance boards.
• Continuously monitor and optimize deployed solutions for performance and reliability.

Qualifications

Required:

• Applied ML foundation: Solid foundation in applied ML, including problem framing, model training, and evaluation (e.g., metrics selection, offline/online validation, error analysis).
• Engineering background: Strong quantitative/engineering background (CS, Math, Stats, Physics, Software Engineering, ML or related), or equivalent practical experience building data/ML systems.
• Coding proficiency: Proficiency in Python and SQL for data/ML workflows; working knowledge of TypeScript/JavaScript (and Angular or similar front-end framework). Experience with Java a plus.
• Business-to-technical execution: Ability to translate business goals into technical requirements, choose pragmatic solution approaches, and deliver iterative releases quickly (prototype to MVP to production), with clear success metrics.
• Collaboration: Strong cross-functional collaboration: can work effectively with product, ops, and stakeholders to align on requirements, communicate technical concepts clearly, and drive decisions.
• Dynamic environment: Comfortable operating in ambiguity and rapidly evolving priorities; able to iterate directly with users, incorporate feedback, and adjust solutions based on real-world constraints.
• Ownership and learning: Bias for action and ownership: proactively identifies gaps, unblocks progress, and continuously improves through learning and experimentation.

Education

• Preferred fields include Computer Science, Mathematics, Statistics, Physics, Software Engineering, Machine Learning, or related disciplines (or equivalent practical experience).

Our ideal candidate:

• Leads with curiosity, asking thoughtful questions and validating assumptions before acting.
• Collaborates thoughtfully, partnering across teams to solve complex problems and drive shared success.
• Takes ownership and moves with agility, stepping forward when direction is unclear and driving work to outcomes.
• Stays future ready, continuously learning, adapting, and applying new tools and approaches to improve results.
• Acts with integrity, doing the right thing and showing care for people and the work.
• Safeguards trust, protecting clients, members, and sensitive data, and treating security and compliance as non negotiable.
• Communicates early and openly, raising risks quickly, proposing solutions, and following through with accountability.