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 workflowsβprior art search, patent landscape analysis, FTO, competitive intelligenceβinto 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 workflowsβtranslating 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 systemsβtransforming 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
β’           12β15+ years in engineering leadership roles with platform ownership
β’             Proven experience building and scaling AI/NLP-powered platforms
β’             Background in IP analytics, legal tech, compliance, or other knowledge-intensive domains
β’             Deep familiarity with patent data structures, citation networks, and IPC/CPC classifications (strongly preferred)
β’             Expertise in LLMs, embeddings, vector databases, and RAG architectures for AI agents
β’             Experience designing evaluation and quality measurement frameworks for AI systems
β’             Strong background in semantic search and information retrieval
β’             Experience operationalizing AI systems in secure, enterprise environments
β’             Proven ability to design scalable systems handling large structured and unstructured datasets
β’             Ability to operate at both strategic and execution levels.
β’             Comfortable operating in ambiguity during frontier AI adoption
β’             Product-oriented, outcome-driven approach to engineering leadership.
β’             Comfort balancing rapid innovation with robustness, governance, and explainability.
β’             Able to attract and mentor senior engineering talent
Key Competencies
β’           Customer focus βcore to your role is to provide an excellent service to clients.
β’             Judgement β the firm relies on your judgement in the services supplied to clients. This has to be delivered as per the clientβs needs, technically excellent, commercial and on time.
β’             Technical expertise β strong technical leadership and maintaining your technical competence is critical to ensuring clients receive an excellent service.
β’             Networking β you are skilled at developing and growing relationships in the wider market and leveraging these to create opportunities for the business.
β’             Communication β you communicate both verbally and in writing in an engaging and purposeful manner.
β’             Leadership β you will help drive and lead a culture of continuous development, be able to identify future talent and act as mentor and sponsor.