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Wolters KluwerVP, AI Engineering, Applied Research
VP of AI Engineering managing Generative AI capabilities for Wolters Kluwer's product portfolio. Driving innovation in AI - powered customer - facing products with a high - performing team.
About the role
- You'll work directly with CEO Vetri Vellore to build our AI operating system from the ground up.
- This means you'll touch everything - from designing multi-agent architectures and LLM orchestration, to building production systems, to shipping features that directly impact enterprise customers.
- This is a roll up your sleeves and build something from scratch role alongside engineers from IIT, Stanford, and other top-tier institutions who ship production AI daily.
Requirements
- 7+ years building production software with at least 2+ years deeply focused on LLMs, agents, or AI-native applications
- Expert proficiency in Python and experience with React/Next.js for AI-powered UIs
- Experience shipping agentic systems to production.
- Experience with RAG implementations: Hybrid search, Re-ranking, context optimization, and retrieval quality measurement.
- Designed and architected distributed systems at production scale.
- Proven ability to influence technical direction across multiple teams while mentoring engineers
- Track record of driving ambiguous, high-impact initiatives from concept to measurable business outcomes
- Effective collaboration across distributed teams spanning US and India time zones
- Bachelor's or Master's degree in Computer Science or related field, or equivalent experience with demonstrable technical excellence
- Contributed to open source AI projects or published research
- Background in high-scale distributed systems
- Based in or willing to relocate to San Francisco Bay Area.
Benefits
- Significant equity stake at early stage (15 people = meaningful ownership)
- $26M runway, paying enterprise customers, sustainable path—build the right product, not chase next fundraise
- Work with founders who've built and sold companies—they know what matters
- Day one: You'll be shipping code to production—we deploy daily
- First week: Your code will be running in production for enterprise customers
- First month: You'll own major features that thousands of users depend on
- Six months: Your architecture decisions will define how enterprises operate with AI
- Collaborate with engineers from IIT, Stanford, and top-tier institutions who've scaled systems to millions
- Take ownership of technical decisions with real autonomy—strong opinions backed by evals get shipped
- AI-native culture: use Cursor and Claude Code for development, Claude Code reviews PRs, ship AI features weekly
- Flat structure, direct feedback, open technical debates—better ideas win
- If you want FAANG stability, this isn't it. If you want to define a category, it is.
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