AI Architect (Manager or Senior Manager)

What You’ll Do (All Levels)

• AI Architecture & Solution Design: Lead the design of end-to-end AI and GenAI solutions aligned to client strategy and measurable outcomes.

• Define solution blueprints, reference architectures, and AI roadmaps for scalable, repeatable delivery.

• Translate complex requirements into clear, well‑architected solution approaches.

• GenAI & Azure Technical Leadership: Advise on GenAI use cases including conversational AI, copilots, RAG, vector search, and emerging Agentic AI patterns.

• Leverage Azure AI Services, Azure OpenAI, Azure AI Search, and Copilot Studio to shape automation and orchestration.

• Client Advisory: Serve as a trusted advisor to business and technology leaders, lead architecture discussions, design workshops, and solution reviews, shape AI strategy, adoption plans, and future‑state operating models.

• Sales & Pursuit Support: Support sales pursuits through solution shaping, estimates, and executive‑facing presentations; contribute to PoVs, demos, and proposal development.

• Practice & Capability Building: Contribute to internal accelerators, best practices, reusable components, mentor team members, and support capability uplift in GenAI and Responsible AI.

Additional Responsibilities (Manager)

• Lead architecture components within larger programs.

• Deliver solution designs, documentation, and implementation guidance.

• Facilitate workshops, gather requirements, and support stakeholder alignment.

• Contribute to proposals and solution narratives under guidance from senior leaders.

Additional Responsibilities (Senior Manager)

• Lead executive briefings and influence senior stakeholders.

• Shape multi‑year AI roadmaps and value realization frameworks (KPIs, OKRs, ROI).

• Own end‑to‑end architecture across data, integration, security, identity, and model lifecycle.

• Establish standards for RAG, orchestration, agent strategies, and AI governance.

• Lead pre‑sales architecture for major pursuits and create industry‑aligned reference designs.

• Shape commercial strategy, solutioning, and risk mitigation for large programs.

• Oversee architectural integrity across programs, run design reviews, and manage risks and trade‑offs.

• Ensure adoption, value tracking, and scaled rollout across complex engagements.

• Define AI operating models, platform strategy, SDLC/MLOps/LLMOps guardrails, and data access patterns.

• Advise on Responsible AI, security, privacy, and Azure Well‑Architected principles.

What We’re Looking For (All Levels)

• Technical Expertise: strong experience with Azure AI Services, Azure OpenAI, Azure AI Search, and Copilot Studio; solid understanding of RAG, NLP/CLU, conversational AI, vector databases, and emerging Agentic AI patterns.

• Ability to translate business requirements into scalable, repeatable AI architectures.

• Consulting & Delivery Experience: delivering complex, client‑facing technology engagements; strong communication and presentation skills with both technical and non‑technical audiences.

• Education: Bachelor’s degree in a technology or business‑related field (or equivalent experience); Azure certifications preferred.

Experience Guidelines by Level

• Manager

• 7–10+ years in consulting.

• 2+ years architecting AI solutions (architecture‑focused).

• Demonstrated ability to deliver solution designs and support pre‑sales activities.

• Senior Manager

• 10+ years in consulting leading complex, multi‑workstream programs.

• 3–5+ years in cloud architecture.

• 2+ years architecting AI/GenAI solutions with a focus on strategy and design.

• Proven ability to influence senior executives and shape enterprise AI strategy.