Microsoft
Industry Architect - R&D
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Overview
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.
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.
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.
Responsibilities
- Build executive presence and credibility with R&D leaders, with the mindset to drive strategic, first-of-its-kind R&D engagements.
- 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.
- 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.
- 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.
- 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.
- Lead design and delivery of MVPs, proof-of-concepts, and production-ready solutions across Discovery workflows, agents, integrations, simulations, and data pipelines.
- Own technical workstreams across the engagement lifecycle: qualification and planning, discovery and design, implementation and build, and post-go-live optimization
- 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.
- 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.
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Success in this role looks like
- Scientific Credibility: Earns deep trust from research leaders by demonstrating deep understanding of R&D problems and research workflows.
- Technical Credibility: Earns trust with R&D IT and computational teams by demonstrating comprehensive understanding of HPC, simulation, scientific workflows, data pipelines, security, and production operations.
- Problem Framing and Solutioning: Shapes ambiguous R&D and science problems into clear hypotheses, workflows, architectures, delivery plans, risks, and decision points.
- R&D Product Lifecycle Management: Establishes and manages high-quality product roadmaps and product backlogs for delivery teams, connecting scientific priorities to engineering execution.
- 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.
- 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.
- Field learnings improve Microsoft Discovery product direction and delivery playbooks.
- Customers view Microsoft as a trusted technical partner for frontier AI and R&D transformation.
Qualifications
- Extensive experience in science, engineering, technology consulting, product management, data science, machine learning, AI, or a related field.
- 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.
- Understanding of scientific methodologies, experimentation practices, data-informed decision making, and research and development processes.
- Experience applying AI, machine learning, generative AI, data science, simulation technologies, or advanced analytics to business or scientific scenarios.
- Ability to collaborate effectively with technical specialists and business decision-makers.
- Communication, presentation, and stakeholder engagement skills.
- Ability to build alignment across teams and contribute to shared organizational objectives.
- Problem-solving skills and ability to navigate evolving business environments.
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Preferred Qualifications
- Advanced degree or equivalent professional experience in Chemistry, Biology, Physics, Engineering, or a related discipline.
- Understanding of data science and machine learning concepts, including exploratory data analysis, model development, and model evaluation.
- 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.
- Experience with product planning, iterative delivery methodologies, and work prioritization practices.
- Experience collaborating across multidisciplinary organizations with engineering, research, product, and customer-facing teams.
- Experience contributing to innovative initiatives, new programs, or emerging technology solutions.
- Experience using GitHub Copilot, Claude Code, Codex, or similar AI-assisted development tools.
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.
Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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 requesting accommodations.
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