--- schema: 1 type: video title: 'The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2' description: >- The Chief AI Officer is one of the fastest-growing roles in tech, and one of the least defined. AI is in everything, so the job can easily turn into everything. Rania Khalaf (Chief AI Officer, WSO2; previously 20 years at IBM Research, where she ran about a third of the global AI research organization) shares a framework from two years in the role. It splits the job into three focus areas, Scientist, Architect and Coach, each a slider whose setting depends on your company type, its AI maturity and your own skills. She draws on her time at an ag-biotech unicorn, where simple blob detection beat machine learning, and at WSO2, where AI reshaped the product strategy around the agentic enterprise. She explains why she refuses to measure tokens and what she tracks instead: AI fluency across the workforce, depth of adoption, GEO visibility, agent-consumable products (MCP servers, skills, CLIs), agent-proof pricing, earned thought leadership and AI ARR. She closes on why the role needs strong CEO backing, and why sometimes the CPO, or even the head of HR, ends up running AI. Speaker info: Rania Khalaf LinkedIn: https://www.linkedin.com/in/raniakhalaf/ WSO2 profile: https://wso2.com/about/team/rania-khalaf WSO2: https://wso2.com X: https://x.com/wso2 LinkedIn: https://www.linkedin.com/company/wso2 GitHub: https://github.com/wso2 Timestamps: 0:00 Intro and audience poll 1:13 A role that means something different everywhere 2:12 The rise of the Chief AI Officer 2:32 AI is in everything: avoiding overload 2:57 Three hats: Scientist, Architect, Coach 5:47 Each hat is a slider 7:52 Mapping real resumes and job postings to the framework 8:32 From IBM Research to an ag-biotech unicorn 10:17 At WSO2: 20% scientist, 60% architect, 20% coach 11:12 When simple computer vision beats ML 12:27 The dimensions that shape the role 12:52 What to measure (and why not tokens) 15:11 Product metrics: agent-consumable, MCP and agent-proof pricing 16:16 Market and ecosystem metrics 17:31 You get what you measure 17:41 About WSO2 and its agentic platform 19:16 Scientist and architect in practice 20:01 No silver bullet: CEO backing and who owns AI 21:11 Shape the role around what you love --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/9cJrbj23fOA-youtube-3aed982624f0beaf490e Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- canonical: 'https://liquidgold.cc/watch/9cJrbj23fOA' markdown: 'https://liquidgold.cc/watch/9cJrbj23fOA.md' llms: 'https://liquidgold.cc/watch/9cJrbj23fOA/llms.txt' parent: 'https://liquidgold.cc/channel/aidotengineer.md' channel: aidotengineer updated: '2026-10-23T22:20:16.260Z' language: null children: [] videoId: 9cJrbj23fOA durationSeconds: 1342 publishedAt: '2026-09-30T14:00:21.000Z' searchChunks: - ordinal: 0 text: null startSeconds: 81 endSeconds: 92 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=81' heldReason: rights - ordinal: 1 text: null startSeconds: 92 endSeconds: 141 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=92' heldReason: rights - ordinal: 2 text: null startSeconds: 163 endSeconds: 185 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=163' heldReason: rights - ordinal: 3 text: null startSeconds: 198 endSeconds: 347 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=198' heldReason: rights - ordinal: 4 text: null startSeconds: 347 endSeconds: 357 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=347' heldReason: rights - ordinal: 5 text: null startSeconds: 357 endSeconds: 481 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=357' heldReason: rights - ordinal: 6 text: null startSeconds: 690 endSeconds: 747 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=690' heldReason: rights - ordinal: 7 text: null startSeconds: 791 endSeconds: 913 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=791' heldReason: rights - ordinal: 8 text: null startSeconds: 791 endSeconds: 913 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=791' heldReason: rights - ordinal: 9 text: null startSeconds: 913 endSeconds: 924 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=913' heldReason: rights - ordinal: 10 text: null startSeconds: 924 endSeconds: 980 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=924' heldReason: rights - ordinal: 11 text: null startSeconds: 924 endSeconds: 980 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=924' heldReason: rights - ordinal: 12 text: null startSeconds: 991 endSeconds: 1059 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=991' heldReason: rights - ordinal: 13 text: null startSeconds: 1206 endSeconds: 1217 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=1206' heldReason: rights - ordinal: 14 text: null startSeconds: 1284 endSeconds: 1342 watch: 'https://liquidgold.cc/watch/9cJrbj23fOA?t=1284' heldReason: rights --- # The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2 The Chief AI Officer is one of the fastest-growing roles in tech, and one of the least defined. AI is in everything, so the job can easily turn into everything. Rania Khalaf (Chief AI Officer, WSO2; previously 20 years at IBM Research, where she ran about a third of the global AI research organization) shares a framework from two years in the role. It splits the job into three focus areas, Scientist, Architect and Coach, each a slider whose setting depends on your company type, its AI maturity and your own skills. She draws on her time at an ag-biotech unicorn, where simple blob detection beat machine learning, and at WSO2, where AI reshaped the product strategy around the agentic enterprise. She explains why she refuses to measure tokens and what she tracks instead: AI fluency across the workforce, depth of adoption, GEO visibility, agent-consumable products (MCP servers, skills, CLIs), agent-proof pricing, earned thought leadership and AI ARR. She closes on why the role needs strong CEO backing, and why sometimes the CPO, or even the head of HR, ends up running AI. Speaker info: Rania Khalaf LinkedIn: https://www.linkedin.com/in/raniakhalaf/ WSO2 profile: https://wso2.com/about/team/rania-khalaf WSO2: https://wso2.com X: https://x.com/wso2 LinkedIn: https://www.linkedin.com/company/wso2 GitHub: https://github.com/wso2 Timestamps: 0:00 Intro and audience poll 1:13 A role that means something different everywhere 2:12 The rise of the Chief AI Officer 2:32 AI is in everything: avoiding overload 2:57 Three hats: Scientist, Architect, Coach 5:47 Each hat is a slider 7:52 Mapping real resumes and job postings to the framework 8:32 From IBM Research to an ag-biotech unicorn 10:17 At WSO2: 20% scientist, 60% architect, 20% coach 11:12 When simple computer vision beats ML 12:27 The dimensions that shape the role 12:52 What to measure (and why not tokens) 15:11 Product metrics: agent-consumable, MCP and agent-proof pricing 16:16 Market and ecosystem metrics 17:31 You get what you measure 17:41 About WSO2 and its agentic platform 19:16 Scientist and architect in practice 20:01 No silver bullet: CEO backing and who owns AI 21:11 Shape the role around what you love --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/9cJrbj23fOA-youtube-3aed982624f0beaf490e Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney --- Canonical: https://liquidgold.cc/watch/9cJrbj23fOA · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks > Missing: no stored document chunks are available.