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Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we’ve helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. About Third Bridge Third Bridge is a global investment research firm founded in 2007 and headquartered in London, helping the world's largest investment and advisory institutions make faster, better-informed decisions through human-led primary research. With 1,500+ people across 12 offices, the Mumbai hub is home to both client-facing research teams and Global Shared Services. About the Role Third Bridge is building a dedicated AI Enablement Group to accelerate practical AI adoption across our global business. This role will help define how teams across horizontal functions such as Finance, Commercial, Marketing, Editorial, People Operations, Legal, and Compliance leverage AI to improve productivity, decision-making, and operational efficiency. As the AI Enablement Lead, you will own the knowledge foundation that enables AI adoption at scale across Third Bridge. Your focus will be on three core areas: building and maintaining the organisation's AI use-case library, developing reusable prompt libraries, and creating the training programmes that bring both to life for business teams. This is a hands-on role for someone who enjoys building, testing, and scaling practical AI solutions. While you will work closely with stakeholders across the business, the primary focus is delivering tangible AI-enabled outcomes rather than managing projects, vendors, or large teams. Key Responsibilities AI Use Case Library Build and own a version-controlled Markdown repository — template, taxonomy etc. Document AI workflows, best practices, guardrails, and business use cases. Develop governance, taxonomy, version control, and documentation standards. Partner with stakeholders across functions to capture and scale successful AI initiatives. Prompt Engineering & AI Assets Design, test, and maintain reusable prompt libraries for high-value business workflows. Develop practical AI assets that support activities such as reporting, content creation, compliance etc. Establish prompt evaluation, testing, and continuous improvement frameworks. Training & Enablement Design and deliver engaging AI training programmes for business users. Run workshops and enablement sessions that drive measurable AI adoption. Establish feedback mechanisms to continuously improve training content and AI assets. Required Experience 8–10 years experience in Technology or an adjacent field 2+ years hands-on experience with GenAI and LLM implementation Strong technical writing; comfortable working across functions without formal authority Excellent communication, stakeholder management, technical writing, and training skills. Technical Skills Expertise with Anthropic Claude and other enterprise AI tools. Strong experience with prompt engineering, AI workflows, and agent-based solutions. Familiarity with agentic AI concepts (RAG, tool use, multi-step workflows). Working knowledge of Python, JSON, Markdown, and version control systems. Experience integrating AI solutions with enterprise applications is preferred. Proven track record building structured knowledge repositories (Markdown, Git, or similar) Nice to Have Claude Certified Architect – Foundations Experience with ERP platforms (NetSuite preferred) and CRM systems (Salesforce or HubSpot). Exposure to Finance Operations, Compliance, Legal, or other business functions. Why This Role Is Exciting Build a greenfield AI E