Overview
Microsoft Industry Solutions Delivery brings together strategic sellers, industry and security experts, engineers, data scientists, architects, consultants, and delivery specialists to help Microsoft’s most strategic customers solve complex business challenges. Together with our partners, we deliver industry-specific solutions that accelerate customers’ digital and AI transformation using Microsoft Cloud and AI.
As a Solution Architect – Data & AI, you will shape and architect enterprise Data, Generative AI, and Agentic AI solutions that deliver measurable customer outcomes and accelerate cloud adoption. You will combine business understanding, deep technical expertise, customer-facing solution leadership, and architecture governance to translate complex requirements into secure, scalable, resilient, and production-ready solutions.
You will engage with business and technology leaders to understand their priorities, define the solution vision and value proposition, and create architecture strategies and transformation roadmaps. You will lead solution shaping from early customer conversations and presales through design, delivery governance, production deployment, adoption, and value realization.
As an experienced individual contributor, you will provide architectural leadership across multidisciplinary teams, evaluate technology choices and trade-offs, manage technical risks, and ensure quality throughout the solution lifecycle. You will champion AI-first architecture practices, Responsible AI, reusable intellectual property, and modern Data & AI platforms to help customers move from experimentation to enterprise-scale adoption.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. We build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Lead solution envisioning and shaping: Engage with customer executives, business sponsors, enterprise architects, security teams, and engineering leaders to understand priorities, identify opportunities, and define outcome-based Data & AI solutions.
- Define the solution architecture: Create and document the architecture vision, value proposition, target architecture, transition roadmap, architecture decisions, requirements, constraints, assumptions, dependencies, and risks.
- Architect modern Data & AI platforms: Design enterprise data platforms, lakehouse architectures, data engineering, analytics, real-time data, governance, search, machine learning, and AI solutions using Microsoft Azure, Microsoft Fabric, Databricks, and related technologies.
- Architect Generative and Agentic AI solutions: Define architectures for Generative AI applications, RAG, enterprise knowledge, AI agents, multi-agent systems, reusable skills, tool integrat
