<b>Overview</b><br><p style="text-align: justify; margin-right: 0.0cm; margin-left: 0.0cm; font-size: 12.0pt; font-family: 'Times New Roman', serif;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Microsoft is helping define a new era of scientific and industrial innovation: one where agentic AI, cloud-scale computing, data, simulation, and human expertise come together to accelerate breakthroughs that once took months or years. As customers look to transform how they discover new materials, medicines, products, processes, and research insights, they need more than a platform — they need deeply technical partners who can turn ambition into working solutions. This role has three distinct dimensions: shaping customer outcomes, leading technical delivery, and scaling R&D motions.</span></p><p style="text-align: justify; margin-right: 0.0cm; margin-left: 0.0cm; font-size: 12.0pt; font-family: 'Times New Roman', serif;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">We are seeking an Industry Architect, executive presence, and leadership ability to shape complex R&D opportunities. You will work directly with R&D leaders, scientific researchers, account teams, industry leaders, and Microsoft product engineering to identify high-value R&D scenarios. The Industry Architect serves as the strategic bridge between scientific innovation, business outcomes, and Microsoft’s AI technologies, shaping high-value opportunities from pre-sales through delivery and leading first-of-its-kind MVPs and cutting-edge production deployments.</span></p><p style="text-align: justify; margin-right: 0.0cm; margin-left: 0.0cm; font-size: 12.0pt; font-family: 'Times New Roman', serif;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">This is a role for builders who thrive in ambiguity, move comfortably from high level customer needs to whiteboard to code, and are energized by solving complex customer problems in the real world. You will help customers reimagine R&D workflows through Microsoft AI while also shaping the repeatable patterns, product feedback, and delivery motions that scale this frontier AI business across industries. If you are excited by the opportunity to co-engineer with customers, unlock new scientific and industrial possibilities, and help establish one of Microsoft’s most strategic AI growth motions, this role is for you.</span></p><br><br><b>Responsibilities</b><br><ul style="margin-bottom: 0.0cm; margin-top: 0.0px;"><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Build executive presence and credibility with R&D leaders, with the mindset to drive strategic, first-of-its-kind R&D engagements.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Lead R&D opportunities from pre-sales through delivery, including technical scoping, use case qualification, customer readiness, data and compute assessment, solution feasibility, business value definition, staffing models, success criteria, effort estimates, and phased delivery plans.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Partner with account teams, Industry Advisors, Customer Success, Product Engineering, and Services teams to shape R&D engagements from early opportunity through implementation, drive cross-functional alignment across Microsoft.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Bridge business objectives, scientific requirements, and technical implementation teams to ensure successful end-to-end solution delivery. Work side-by-side with customer scientists, researchers, computational teams, engineers, executives, and UX researchers to articulate specific R&D outcomes and roadmaps, align technical delivery with business outcomes, and establish trusted advisor relationships.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Translate customer R&D, scientific, engineering, or advanced computing challenges into product backlogs, epics, user stories, tasks, research objectives, success metrics, scientific workflows, and target-state AI architectures on Microsoft Discovery and Azure.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Lead design and delivery of MVPs, proof-of-concepts, and production-ready solutions across Discovery workflows, agents, integrations, simulations, and data pipelines.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Own technical workstreams across the engagement lifecycle: qualification and planning, discovery and design, implementation and build, and post-go-live optimization</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Evaluate emerging AI capabilities and provide scientific and technical oversight throughout the engagement, ensuring solutions are scientifically credible, technically feasible, aligned to customer goals, and applicable to scientific and engineering workflows.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Develop reusable patterns, reference architectures, delivery playbooks, technical assets, and leading practices that help scale R&D patterns across customers, industries, and regions. Capture product feedback and field learnings to influence the Microsoft Discovery roadmap, engineering priorities, and repeatable industry motions.</span></li></ul><p style="margin-right: 0.0cm; margin-left: 0.0cm; font-size: 12.0pt; font-family: 'Times New Roman', serif;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Success in this role looks like</span></p><ul style="margin-bottom: 0.0cm; margin-top: 0.0px;"><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Scientific Credibility: Earns deep trust from research leaders by demonstrating deep understanding of R&D problems and research workflows.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Technical Credibility: Earns trust with R&D IT and computational teams by demonstrating cpmprehensive understanding of HPC, simulation, scientific workflows, data pipelines, security, and production operations.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Problem Framing and Solutioning: Shapes ambiguous R&D and science problems into clear hypotheses, workflows, architectures, delivery plans, risks, and decision points.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">R&D Product Lifecycle Management: Establishes and manages high-quality product roadmaps and product backlogs for delivery teams, connecting scientific priorities to engineering execution.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">R&D Outcome Ownership and Accountability: Establishes, monitors, and presents R&D outcomes to external and internal stakeholders throughout pre-sales and delivery, including impact on cycle time, experiment throughput, decision quality, cost-to-discover, or speed of scientific insight.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Learning Agility and Adaptability Across Industries: Stays curious about how R&D operates across industries, learns beyond their primary domain, and is willing to apply their skills across adjacent R&D-intensive sectors when customer needs, scientific opportunities, or business priorities require it.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Field learnings improve Microsoft Discovery product direction and delivery playbooks.</span></li><li style="text-align: justify; margin-right: 0cm; font-size: 10pt; font-family: verdana, geneva, sans-serif; margin-left: 0px;"><span style="font-family: verdana, geneva, sans-serif; font-size: 10pt;">Customers view Microsoft as a trusted technical partner for frontier AI and R&D transformation.</span></li></ul><br><br><b>Qualifications</b><br><div><ul><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Extensive experience in science, engineering, technology consulting, product management, data science, machine learning, AI, or a related field.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience supporting pharmaceutical or life sciences research and development activities, including areas such as drug discovery, target identification, lead optimization, preclinical research, translational medicine, clinical development, biotechnology, genomics, bioinformatics, computational biology, regulatory science, or real-world evidence.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Understanding of scientific methodologies, experimentation practices, data-informed decision making, and research and development processes.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience applying AI, machine learning, generative AI, data science, simulation technologies, or advanced analytics to business or scientific scenarios.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Ability to collaborate effectively with technical specialists and business decision-makers.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Communication, presentation, and stakeholder engagement skills.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Ability to build alignment across teams and contribute to shared organizational objectives.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Problem-solving skills and ability to navigate evolving business environments.</span></li></ul><div><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Preferred Qualifications</span></div><ul><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Advanced degree or equivalent professional experience in Chemistry, Biology, Physics, Engineering, or a related discipline.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Understanding of data science and machine learning concepts, including exploratory data analysis, model development, and model evaluation.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Familiarity with Microsoft Azure cloud services (such as Azure AI Foundry and Azure AI Search), AI agent architectures, knowledge graphs, microservices, containerized applications, and scientific computing environments.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience with product planning, iterative delivery methodologies, and work prioritization practices.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience collaborating across multidisciplinary organizations with engineering, research, product, and customer-facing teams.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience contributing to innovative initiatives, new programs, or emerging technology solutions.</span></li><li style="font-family:verdana, geneva, sans-serif;font-size:10.0pt"><span style="font-family:verdana, geneva, sans-serif;font-size:10.0pt">Experience using GitHub Copilot, Claude Code, Codex, or similar AI-assisted development tools.</span></li></ul></div> <br><br><p>Solution Architecture IC5 - The typical base pay range for this role across United Kingdom is £ 77,600.00 - £ 132,500.00 per year. Certain roles may be eligible for benefits and other compensation. </p><p></p> <p>Find additional benefits and pay information here:<br><a href="https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html">https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html</a></p><br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><hr><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html"><b><u>requesting accommodations.</u></b></a></p>