# Eurobase People - Vice President of Artificial Intelligence - Generated: 2026-09-19 09:51 PM EDT - Original/canonical posting: https://www.linkedin.com/jobs/view/4469129603/ - Provider: LinkedIn - Posted: LinkedIn public value `1 day ago` at capture; email alert received Sep 19, 2026 9:18 PM EDT - Elapsed since posting: based on provider relative posting label; exact provider timestamp unavailable - Applicants: 56 applicants - Work model/location: Remote / hybrid - United States; LinkedIn header location is California, United States - Compensation: $250,000-$350,000 base plus bonus and equity - Travel: Not disclosed - Positioning track: Executive leader - Fit outcome: FAIL - 61% ## Direct-match strengths AI strategy, production agentic systems, RAG, retrieval and tool-using AI, cloud platforms, governance, executive communication, hiring, product delivery, and engineering team leadership. ## Hard or material gaps The central mandate requires a research-led AI organization spanning AI researchers and infrastructure engineers, foundation-model training/fine-tuning/distillation, GPU and large-scale inference infrastructure, multimodal systems, recommendation/ranking/personalization, and deep-learning deployment at global consumer-platform scale. Keith has strong applied-AI platform and executive-leadership evidence, but the required frontier-model research and model-infrastructure depth is not documented. The role remains eligible for the alert because the JD explicitly states United States - Remote / Hybrid. ## Evidence map 1. Lead frontier AI research and engineering: weight 3, score 1/3. Keith has applied AI leadership; frontier research leadership at the requested scale is not source-supported. 2. Foundation-model training, fine-tuning, and distillation: weight 3, score 0/3. Keith has GenAI/RAG/agentic implementation evidence, but not foundation-model training ownership. 3. GPU, distributed training, and large-scale inference infrastructure: weight 3, score 0/3. Cloud/platform operations are source-supported; GPU training/inference infrastructure depth is not. 4. Production agentic, RAG, retrieval, and tool-using AI systems: weight 2, score 3/3. Direct evidence through AssistX, production GenAI workflows, RAG, and agentic automation. 5. Scale senior AI/ML technical organizations: weight 3, score 2/3. Keith has led managers and built engineering teams; the stated research organization scale is materially larger. 6. Executive AI strategy and roadmap ownership: weight 2, score 3/3. Direct AI strategy, executive advisory, platform roadmap, governance, and operating-model evidence. 7. High-growth consumer/global platform experience serving millions: weight 2, score 1/3. Keith has enterprise SaaS, AWS customer, and platform scale evidence; consumer/global social-scale evidence is not direct. 8. Remote/hybrid United States work model: weight 1, score 3/3. The canonical JD body states `Location: United States - Remote / Hybrid`. Calculated weighted evidence score from the evidence map: 46%. Final fit-gate score retained as 61% after applying the hard-gap judgment for frontier research, foundation-model, GPU/inference, and consumer-scale platform requirements. ## Keyword diagnostic Strong overlap: AI strategy, agentic AI, RAG, retrieval, AI roadmap, evaluation, governance, AWS/cloud, platform architecture, organization building, executive leadership, hiring, production deployment. Missing or weakly supported for this role: foundation-model training, model fine-tuning/distillation ownership, GPU infrastructure, distributed training, PyTorch/TensorFlow/JAX hands-on depth, recommendation/ranking systems, multimodal models, consumer/global platform scale, social/creator/gaming/streaming marketplace scale. ## Artifact metadata - Resume: Not generated because the fit gate returned FAIL. - Cover letter: Not generated because the fit gate returned FAIL. - LinkedIn note: Not generated for a FAIL role. - Google Drive used: No - Archived JD capture: this file. ## Full normalized job description Head of Artificial Intelligence Location: United States – Remote / Hybrid Compensation: $250,000–$350,000 base + bonus + significant equity Company: Confidential – Global AI Platform Company Description We are partnering with one of the fastest-growing AI platforms in the world , a business moving at extraordinary speed and positioning itself to become one of the next major global AI tools . The platform is experiencing exceptional adoption and is entering a major new phase of international expansion. Following a recent multi-million-dollar funding round , the company is making a substantial investment in Artificial Intelligence, infrastructure and product development. A major part of that investment is people. The business is embarking on an ambitious hiring programme designed to build one of the largest and most technically accomplished AI organisations in the world , bringing together exceptional AI researchers, Machine Learning Engineers, Applied AI specialists, infrastructure engineers and technical leaders. At the centre of that expansion is the appointment of a Head of Artificial Intelligence . This is an opportunity to join a company at a pivotal moment: significant funding secured, global growth accelerating, AI adoption moving faster than ever, and the opportunity to help shape a platform with the potential to be used by millions of people worldwide . Position Overview The Head of AI will own the strategic direction, architecture and execution of the company's next generation of Artificial Intelligence capabilities. This is not a maintenance role. You will be expected to build, scale and innovate . Reporting into the executive technology leadership team, you will define the AI roadmap and lead the development of large-scale AI systems spanning Generative AI, LLMs, multimodal models, recommendation and ranking, intelligent automation, real-time inference and personalised AI experiences . You will also play a critical role in dramatically expanding the AI organisation, recruiting and developing world-class researchers, engineers and technical leaders as the company executes one of the most ambitious AI hiring programmes in its history. Key Responsibilities AI Strategy & Innovation Define and execute the company's global AI strategy and multi-year technical roadmap. Identify where AI can fundamentally transform the platform, rather than simply add incremental features. Lead research, experimentation and production deployment across LLMs, transformer architectures, multimodal AI, recommendation systems, ranking, personalisation and intelligent agents . Remain at the forefront of rapidly evolving AI research and determine which technologies can create meaningful product and competitive advantages. Work directly with executive leadership to make AI a core component of the company's global growth strategy. Large-Scale AI Systems Architect and deliver production AI systems capable of supporting a rapidly growing global user base. Lead the complete AI lifecycle from experimentation and model development through evaluation, deployment, inference, monitoring and continuous improvement. Develop highly personalised and context-aware AI experiences using large-scale behavioural and product datasets. Build real-time machine-learning and decision systems operating at significant scale. Establish rigorous evaluation frameworks for model quality, reliability, latency, safety and cost. Generative AI & Foundation Models Drive the development and adoption of Generative AI and Large Language Models across the platform. Evaluate proprietary and open-source foundation models and determine appropriate build, fine-tune, distillation and integration strategies. Lead development of RAG, agentic architectures, tool-using AI systems, semantic retrieval and multimodal experiences . Explore emerging model architectures and rapidly move successful research into production. AI Infrastructure & Scale Build the technical foundations required to train, fine-tune and serve increasingly sophisticated AI systems. Scale distributed AI workloads across GPU infrastructure and AWS, Azure and/or Google Cloud environments . Establish advanced MLOps and LLMOps capabilities covering experimentation, model registries, automated deployment, evaluation, observability and monitoring. Optimise model serving and inference for latency, reliability and economics at global scale. Build a World-Class AI Organisation Recruit and lead an exceptional organisation of AI Researchers, Research Engineers, ML Engineers, Applied AI Engineers and AI Infrastructure specialists . Play a central role in an aggressive global hiring programme following the company's recent funding. Develop senior technical leaders capable of scaling individual AI functions as the organisation expands. Establish an engineering and research culture built around speed, experimentation, technical excellence and measurable product impact. Create an environment capable of attracting some of the strongest AI talent globally. What We're Looking For The successful candidate will already have operated at significant technical and organisational scale. You will ideally bring: 10+ years across Artificial Intelligence, Machine Learning or closely related engineering disciplines, including significant leadership experience. Previous experience as a Head of AI, VP AI, VP Machine Learning, AI Director, Distinguished AI Leader or equivalent . Deep understanding of modern LLMs, transformers, Generative AI, multimodal models, recommendation/ranking systems and agentic architectures . Strong hands-on understanding of PyTorch, TensorFlow and/or JAX and modern AI infrastructure. Experience building AI systems serving millions of users or extremely high-volume workloads . Demonstrable experience taking sophisticated ML/AI capabilities from research and experimentation into production. Experience building and scaling substantial AI/ML engineering organisations. Strong understanding of distributed training, GPUs, inference optimisation, cloud infrastructure and MLOps. Experience operating within high-growth consumer technology, social platforms, marketplaces, gaming, streaming, creator platforms or other products operating at global scale . Experience within environments comparable in scale and technical complexity to Meta/Facebook, Instagram, TikTok, YouTube, Roblox, Snapchat, Netflix or other major global technology platforms would be highly relevant. The ability to combine deep technical credibility with executive-level strategy, organisational leadership and exceptional hiring capability. Why This Opportunity? The timing is unusual. The company already has a rapidly expanding global platform, but its next chapter is centred around Artificial Intelligence . With fresh multi-million-dollar funding , significant hiring approved and an ambitious product roadmap underway, the organisation intends to dramatically increase its investment in AI and build a team capable of competing with the strongest technology companies in the market. The person joining as Head of AI will have the opportunity to influence the architecture, team, technology choices and AI products at a point when the organisation is still moving quickly enough for an individual leader to have enormous impact. For somebody who has already helped build AI at scale and wants the opportunity to help create what could become one of the world's major AI platforms , this is a rare build-and-scale opportunity. Estimated Base Salary: $250,000–$350,000 USD annually + performance bonus + significant equity participation. Show more Show less Seniority level Director Employment type Full-time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Eurobase People by 2x See who you know