AI Architect (Manager or Senior Manager)

Das ist der Job

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

Darum lohnt es sich

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

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. 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. 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. #J-18808-Ljbffr