Solution Architect, AI & Application Innovation

Microsoft•,
•$124,500 - $231,700

About The Position

Lead enterprise AI transformation for strategic customers by connecting executive priorities and business processes to secure, scalable architectures spanning agentic AI, applications, data, integration, identity, governance, and operations. Partner across account, pursuit, engineering, and delivery teams to shape opportunities, establish architectural direction, guide implementation, and ensure customer investments produce measurable adoption and business outcomes. The role leads programs from strategy and architecture through implementation, adoption, and business value realization. It includes engaging stakeholders and business sponsors, defining architecture and decision traceability, leading cost and value discussions, translating objectives into delivery strategies and roadmaps, governing proofs of concept and pilots, resolving risks, and building reusable architecture assets while developing senior customer relationships and mentoring technical teams.

Requirements

  • Master's degree in Computer Science, Information Technology, Engineering, or a related field and 6+ years of experience in technology solutions, practice development, architecture, consulting, and/or a technology domain; or bachelor's degree in one of these fields and 8+ years of such experience; or equivalent experience.
  • 2+ years managing multiple projects or portfolios.
  • 1+ year of experience leading blended, multidisciplinary teams.

Nice To Haves

  • Experience designing and delivering AI-centric enterprise solutions across applications, data, integration, identity, security, and operations.
  • Experience guiding proofs of concept or pilots through architecture governance, peer review, and production readiness.
  • Ability to communicate architecture trade-offs, customer value, cost, and operational implications to technical and business stakeholders.
  • Technical or Professional Certification in the relevant domain.
  • Experience designing and implementing Generative AI and agentic AI solutions using Azure AI Foundry, agentic frameworks, RAG architectures, and orchestration patterns.

Responsibilities

  • Lead enterprise AI transformation programs from strategy and architecture through implementation, adoption, and measurable business value realization.
  • Gather customer and partner insights from stakeholders and business sponsors to shape AI-centric projects and measurable outcomes.
  • Define solution architecture through architecture descriptions, decision logs, and requirements-and-constraints traceability.
  • Design secure, scalable AI solutions spanning applications, agents, data, integration, identity, governance, and operations.
  • Lead cost, technology, and value discussions, explaining architecture tradeoffs, deployment implications, and operational requirements.
  • Translate business objectives into executable delivery strategies, technical roadmaps, and scalable solution architectures while managing risk, resources, and stakeholder expectations.
  • Build realistically costed solution approaches with traceability across requirements, constraints, decisions, risks, and trade-offs.
  • Govern proofs of concept and pilots through design, build, deployment, peer review, quality control, and production readiness.
  • Resolve cross-domain risks and blockers while aligning architecture to delivery scope, staffing, sequencing, and customer value.
  • Create reusable architecture intellectual property, develop trusted relationships with senior decision makers, and mentor technical teams.
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