> Markdown version of [/jobs/ext/1272073-vp-ai-engineering](https://www.wearedevelopers.com/jobs/ext/1272073-vp-ai-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, AI Engineering - **Company:** Envision Pharma Group - **Location:** UK (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Software as a Service, Encodings, Machine Learning, Cadence Virtuoso, Enterprise Software Applications, Large Language Models, Model Validation, Generative AI, Information Technology - **Published:** July 15, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=838bafeb8e90a651 ## About the Role We are seeking a strategic and commercially minded technology leader with a proven track record of building and scaling AI engineering organisations. The ideal candidate will combine strong technical expertise with exceptional leadership capability and a passion for delivering practical business outcomes. They will be equally comfortable defining direction, building teams, influencing stakeholders and driving execution. Skills & expertise * Significant experience leading AI/ML engineering teams and delivering production AI solutions at scale. * Proven experience embedding AI capabilities into broader software platforms, products or customer solutions. * Strong understanding of modern AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), model evaluation, observability and AI operations. * Experience leading globally distributed engineering teams across multiple regions. * Demonstrated ability to build high-performing teams, establish operating models and drive organisational transformation. * Strong stakeholder management skills with the ability to influence across technical and non-technical audiences. * Experience partnering closely with Product and Engineering leaders to align technology investments with product strategy, customer needs and business priorities. * Commercial acumen and the ability to operate successfully within a high-accountability, growth-focused environment. * Strong communication skills with the ability to simplify complex concepts and create alignment across diverse stakeholder groups. * A builder mindset, with the resilience, curiosity and adaptability required to thrive in an evolving organisation. * A track record of creating structure, driving accountability and delivering results in environments undergoing significant growth and change., * Healthcare, life sciences, regulated SaaS or complex B2B technology environments. * Experience within private equity-backed organisations. * Experience leading smart-shoring, offshore or globally distributed engineering models. * Bachelor's degree in Computer Science, Engineering or a related discipline; advanced degree preferred. ## Description * Drive the delivery of AI-powered capabilities across Envision's technology portfolio, ensuring solutions are embedded within existing customer workflows and products rather than operating as standalone initiatives. * Partner closely with Product and Engineering teams to translate business priorities and product strategy into scalable AI solutions. * Ensure AI capabilities are fully integrated into broader product roadmaps, customer experiences and commercial objectives. * Deliver measurable customer and business outcomes through the successful implementation of AI capabilities. * Evaluate existing initiatives, identifying opportunities to accelerate, optimise, integrate or retire investments where appropriate. * Establish clear priorities, governance and execution frameworks to support successful delivery., * Create an operating model that enables high-quality delivery, collaboration and accountability across multiple geographies. * Establish engineering standards, delivery cadence, governance and operational excellence practices. * Develop smart-shoring strategies that support sustainable growth while maintaining quality and efficiency. * Recruit, mentor and retain exceptional AI engineering talent. * Build a culture of ownership, accountability and continuous improvement., * Collaborate with Product Management, Engineering, Customer Experience, Security, Data and Enterprise Technology leaders. * Build strong partnerships that ensure AI investments align with customer needs, business priorities and product strategy. * Translate complex technical concepts into clear and actionable business outcomes for executive stakeholders. * Foster a culture of partnership, innovation and continuous improvement across the organisation. * Act as a trusted partner to senior leaders, helping shape decisions that drive long-term value creation. Drive Operational Excellence and Innovation * Establish governance, monitoring and evaluation frameworks for production AI environments. * Ensure AI solutions are delivered consistently, securely and at scale. * Balance innovation with commercial discipline, operating effectively within a high-growth, private equity-backed environment. * Identify opportunities to improve productivity, efficiency and operational performance across the business through AI-enabled solutions. * Drive execution with pace and discipline, ensuring focus remains on outcomes rather than activity. ## Related Videos - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Your next 10x engineer isn't in your city. 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