AI Strategy & Solution Architect
AI Architect
Role Summary
As an AI Architect at Avanade, you will lead the design and delivery of enterprise-scale AI, Generative AI, and Agentic AI solutions that help clients reinvent business processes and create measurable business value. You will work at the intersection of business strategy, solution architecture, data platforms, and AI engineering to define AI roadmaps, architect intelligent systems, and guide multidisciplinary teams from concept through production.
The ideal candidate combines deep expertise in Azure AI technologies, AI Agents, Agentic frameworks, enterprise architecture, and modern data platforms with strong consulting, stakeholder engagement, and solution leadership capabilities.
Key Responsibilities
AI Strategy & Solution Architecture
Lead AI discovery workshops and help clients identify high-value AI and Agentic AI opportunities.
Define AI transformation roadmaps aligned to business goals, operating models, and technology strategy.
Architect enterprise AI platforms and solutions leveraging Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Databricks, and Azure services.
Provide executive-level guidance on AI adoption, governance, risk, and business value realization.
Agentic AI & Intelligent Systems Design
Design AI Agent ecosystems that support planning, reasoning, tool usage, workflow orchestration, and autonomous execution.
Define architectures for multi-agent systems, enterprise copilots, digital assistants, and intelligent automation solutions.
Architect Retrieval-Augmented Generation (RAG), enterprise knowledge systems, semantic search, memory patterns, and contextual grounding strategies.
Establish scalable approaches for integrating AI Agents with enterprise applications, data sources, and business processes.
Technical Leadership
Lead solution design activities across AI Engineers, Data Engineers, Software Engineers, and Architects.
Define reference architectures, reusable accelerators, development standards, and engineering best practices.
Guide teams on architecture decisions, scalability, security, performance, observability, and operational readiness.
Support major pursuits, proposals, solution estimates, and architecture reviews.
Responsible AI & Governance
Define Responsible AI, security, privacy, and governance controls for enterprise AI solutions.
Ensure AI solutions align with regulatory, compliance, and organizational risk requirements.
Establish evaluation, monitoring, and AI quality assurance frameworks.
Drive adoption of MLOps, LLMOps, and AI operational excellence practices.
Client Leadership
Act as trusted advisor to C-level executives, technology leaders, and business stakeholders.
Communicate complex technical concepts clearly to both technical and non-technical audiences.
Lead architecture discussions, executive presentations, and steering committee engagements.
Mentor architects and engineers while contributing to Avanade's AI thought leadership.
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