Solution Architecture & AI Engineering Platforms -Senior Manager
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Job Description
Role Summary We are hiring a Senior Manager in Solution Architecture to lead the design, commercialization, and delivery of enterprise-scale cloud and AI engineering platforms.
This role operates across solution architecture, AI platform innovation, and commercial deal shaping, with a focus on building and scaling agentic engineering capabilities across the Software Development Lifecycle (SDLC).
You will work to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - and drive transformation across complex enterprise legacy portfolios in the Microsoft Enterprise channel.
What You'll Do
Lead Enterprise Solution Architecture - Own end-to-end architecture for complex cloud and digital transformation programmes (Azure-centric but not exclusively) - Define scalable design patterns across application, DevSecOps, and platform engineering with GitHub, Azure DevOps and open source technologies - Ensure architectural integrity, governance, and engineering excellence Drive AI & Agentic Engineering Innovation - Lead the design and evolution of AI-driven engineering platforms embedding automation across the SDLC - Define and operationalize multi-agent architectures across design, development, testing, and operations - Translate frontier AI technologies into reusable engineering capabilities and offerings Shape Deals & Commercial Outcomes - Lead solutioning for strategic deals, including architecture, estimation, and cost models - Develop value propositions linked to ROI, productivity, and cost reduction - Support contract shaping while maintaining solution integrity - Own and evolve the local go-to-market offerings for Agentic Engineering Enable Delivery at Scale - Provide architectural oversight through delivery - Establish engineering best practices across DevOps and automation - Lead and mentor distributed engineering teams Act as a Trusted Advisor - Engage senior stakeholders on cloud strategy, AI adoption, and engineering operating models - Lead client workshops and executive briefings Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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