Architect - AI Business Solutions

Microsoft Microsoft · Big Tech · Hyderabad, TS, IN +2 · Solution Architecture

This role focuses on architecting and designing AI-powered business solutions, primarily leveraging Microsoft technologies like Copilot, Copilot Studio, Power Platform, and Azure. The architect will engage with clients to understand their business and technical requirements, assess their AI readiness, and propose end-to-end solutions. Key responsibilities include designing scalable agentic systems, ensuring secure data access, managing agent orchestration, and guiding clients through the adoption and implementation of these AI solutions. The role also involves acting as a trusted advisor, contributing to practice development, and mentoring technical talent.

What you'd actually do

  1. Engage business sponsors, product owners, Enterprise Architects, Security, and Operations leaders to frame outcomes and define the target agentic scenarios.
  2. Assess customer AI readiness across identity, data, security/compliance, and operating model; identify gaps to unlock Copilot and agent adoption at scale.
  3. Translate business requirements into end-to-end solution options across Power Platform, Azure, and Microsoft 365 Copilot/Copilot Studio extensibility.
  4. Apply structured delivery methodologies (Agile/Iterative/Hybrid) and reference architectures to design scalable Copilot and agentic solutions.
  5. Establish enterprise-grade architecture to support scaled Copilot and agent deployments.

Skills

Required

  • Experience in solution architecture
  • Understanding of client business and technical requirements
  • Knowledge of Microsoft technologies (Power Platform, Azure, M365 Copilot, Copilot Studio)
  • Experience with AI readiness assessment
  • Ability to translate business requirements into technical solutions
  • Experience designing and deploying POCs and pilots
  • Familiarity with Agile/Iterative methodologies
  • Architectural documentation skills
  • Understanding of cost and technology trade-offs for AI solutions
  • Experience with AI risk posture and responsible AI
  • Experience with Copilot extensibility and secure data access
  • Experience building and managing agents using Copilot Studio
  • Familiarity with GitHub Copilot for development acceleration
  • Mentoring technical talent

Nice to have

  • Experience with identity, data, security/compliance, and operating models for AI
  • Knowledge of industry and technology trends including AI adoption patterns, Low‑Code modernization, Copilot usage
  • Experience with change management for AI rollouts
  • Experience with AI evaluations and quality assurance
  • Experience with bid teams and costed solution approaches

What the JD emphasized

  • agentic scenarios
  • agent adoption
  • agentic engagements
  • agentic AI adoption
  • agentic innovation
  • agentic workloads
  • agentic design patterns
  • agentic delivery practices
  • agent/Copilot assets
  • agentic architectures

Other signals

  • customer AI readiness
  • Copilot and agent adoption at scale
  • translate business requirements into end-to-end solution options
  • socialize solution approaches with customers
  • design scalable Copilot and agentic solutions
  • define and communicate end-to-end architecture
  • establish enterprise-grade architecture to support scaled Copilot and agent deployments
  • design Copilot extensibility solutions
  • build and manage agents (topics/actions, orchestration, channels, monitoring)
  • apply GitHub Copilot to accelerate engineering
  • mentor technical talent on agentic design patterns