Anjali Jain
Senior Tutor @Oxford Lifelong Learning, University Of Oxford
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WORK HISTORY
Senior Tutor @Oxford Lifelong Learning, University Of Oxford
At the University of Oxford Department for Continuing Education, Anjali teaches AI engineering to experienced industry professionals and academically trained participants seeking a practical, architectural view of modern AI. She also serves as an AI Ambassador and OpenAI Champion for the university. Her teaching covers how AI systems are built, evaluated, and operated in production, including end-to-end agent development, agentic design patterns, and applied use of the OpenAI, LangGraph, and Google AI ecosystems. She also teaches Spec-Driven Development using agentic code editors such as Cursor and Antigravity and integrates low-code and visual builder tools into her instruction. Anjali has co-authored several internal Oxford course books, each more than 100 pages, on Spec-Driven Development, AI Engineering, and the 10X AI Developer Guide with the BRIDGE Framework. Her earlier teaching in machine learning and deep learning strengthens her ability to bridge foundational theory with applied engineering.
EDUCATION
Oxford Lifelong Learning, University of Oxford
Data science for internet of things, Artificial Intelligence, machine learning
S.G.S.I.T.S
Bachelor of Engineering, Electrical Engineering
Shri Cloth Market Vaishav Bal Mandir
Higher Secondary, Mathematics
ABOUT ANJALI JAIN
Anjali Jain is the Enterprise Architect for AI and Intelligent Decisioning at Metro Bank, with 21 years of experience across enterprise architecture, data governance, and applied AI. She works across three parallel tracks: enterprise AI delivery, academic teaching, and professional reskilling. Her focus is on designing, governing, and operationalising agentic AI systems that work reliably in real organisations.At Metro Bank, Anjali leads production-focused AI architecture, governance, and hands-on proof-of-value work. She shapes enterprise-wide AI strategy and operating models, develops evaluation frameworks for AI and agentic systems including decision observability, risk scoring, and auditability, and designs agentic workflows and decisioning patterns across cloud and on-prem environments. She defines AI standards and policy-as-code controls, drawing on earlier experience as a Data Governance Lead and Data Architect. Anjali provides architectural oversight for partner and supplier solutions in AI & Intelligent Decisioning domain to ensure alignment with enterprise-grade requirements, secure implementation practices, regulatory expectations, and long-term capability needs.In academia, Anjali teaches at the University of Oxford Department for Continuing Education and serves as an AI Ambassador and OpenAI Champion. She teaches AI engineering, agent development, agentic design patterns, and Spec-Driven Development using ecosystems such as OpenAI, LangGraph, Google AI, Cursor, and Antigravity. She has co-authored internal Oxford course books on Spec-Driven Development, AI Engineering, and the 10X AI Developer Guide with the BRIDGE Framework.As Co-Founder and CTO of Erdos Research, Anjali shapes the product direction and reskilling methodology for preparing professionals for AI-native roles such as AI Product Manager, Forward-Deployed Engineer, AI Leader, and AI Researcher. The long-term vision for Erdos Research was presented at the World Economic Forum.Anjali is also the co-author of books including AI-Assisted Programming for Web and Machine Learning, AI Engineering, SPECIFY: Spec-Driven Development, 10X AI Developer Guide with the BRIDGE Framework, and the forthcoming Enterprise Architecture in an Agentic World (Manning Publications). She speaks regularly at events including the Oxford AI Summit, Oxford Autonomous Agents Summit, Oxford Gemini Pilot Showcase, MLCon, CX Network forums, and O’Reilly’s Enterprise Architecture and Agentic Systems sessions.
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