Salary Range
$26,520 - $35,880 /year
EstimatedThis salary is estimated based on similar roles. The actual salary may vary.
We are transforming IP research workflows into an AI-first, scalable platform architecture. Our mission is to convert complex, knowledge-intensive IP workflows—prior art search, patent landscape analysis, FTO, competitive intelligence—into modular, explainable, enterprise-grade AI systems.
The Head of Engineering will lead AI-driven digital transformation across our IP research operations. This role will own the engineering vision, architecture, and execution of intelligent IP workflows—translating deep domain expertise into robust, scalable, production-ready systems & processes. We are seeking a senior engineering leader to architect and execute the transition from expert-centric workflows to scalable, AI-native platforms.
This role owns the engineering delivery of the next-generation IP intelligence systems—transforming prior art search, patent landscaping, Freedom-to-Operate (FTO), and technology benchmarking from manual, analyst-driven processes into robust, explainable, AI-first architectures.
The role is based at our India office location.
Skills & Experience
•           12–15+ years in engineering leadership roles with platform ownership
•             Proven experience building and scaling AI/NLP-powered platforms
•             Background in IP analytics, legal tech, compliance, or other knowledge-intensive domains
•             Deep familiarity with patent data structures, citation networks, and IPC/CPC classifications (strongly preferred)
•             Expertise in LLMs, embeddings, vector databases, and RAG architectures for AI agents
•             Experience designing evaluation and quality measurement frameworks for AI systems
•             Strong background in semantic search and information retrieval
•             Experience operationalizing AI systems in secure, enterprise environments
•             Proven ability to design scalable systems handling large structured and unstructured datasets
•             Ability to operate at both strategic and execution levels.
•             Comfortable operating in ambiguity during frontier AI adoption
•             Product-oriented, outcome-driven approach to engineering leadership.
•             Comfort balancing rapid innovation with robustness, governance, and explainability.
•             Able to attract and mentor senior engineering talent
Key Competencies
•           Customer focus –core to your role is to provide an excellent service to clients.
•             Judgement – the firm relies on your judgement in the services supplied to clients. This has to be delivered as per the client’s needs, technically excellent, commercial and on time.
•             Technical expertise – strong technical leadership and maintaining your technical competence is critical to ensuring clients receive an excellent service.
•             Networking – you are skilled at developing and growing relationships in the wider market and leveraging these to create opportunities for the business.
•             Communication – you communicate both verbally and in writing in an engaging and purposeful manner.
•             Leadership – you will help drive and lead a culture of continuous development, be able to identify future talent and act as mentor and sponsor.