Enterprise AI Architect

Executive Discovery & Assessment

 

• Lead C‑suite workshops to capture business objectives, automation pain points, and AI ambitions.
• Conduct rapid‑maturity assessments using TOGAF/SAFe, AI Capability Maturity Models, and industry benchmarks.
• Quantify value pools, ROI, and risk for prioritized use‑cases (e.g., GenAI copilots, intelligent document processing, autonomous workflows).
  
   

Target Architecture & Roadmap

 

• Define end‑to‑end architectures covering data, application, integration, security, and governance layers—cloud‑agnostic but fluent in AWS, Azure, and GCP native AI services.
• Establish reference patterns for LLM orchestration, RAG pipelines, agent‑based automation, and event‑driven microservices.
• Craft 12‑ to 24‑month transformation roadmaps with clear milestone KPIs, talent requirements, and change‑management plans.
  
   

Governance & Operating Model

 

• Design AI/Automation Centers of Excellence, policy guardrails, and federated governance models (data privacy, ethics, compliance).
• Recommend platform‑selection criteria (build vs. buy) and partner ecosystems.
  
   

Proofs of Value & Quick‑Win Delivery

 

• Oversee rapid proofs of value to validate assumptions, de‑risk technology choices, and demonstrate tangible impact within 90 days.
  
   

Thought Leadership & Capability Building

 

• Mentor client and internal teams; publish POVs on emerging AI trends, DevOps‑for‑ML, and responsible AI frameworks.
• Contribute reusable blueprints, assessment accelerators, and methodology assets across the consulting practice.
  
   

Qualifications

Education: Bachelor’s in Computer Science, Engineering, or related field (Master’s or MBA preferred).

Experience: 15+ years in enterprise / solution architecture, with 8+ years leading AI, automation, or digital‑transformation programs in a consulting environment.

Technical Depth

Hands‑on architecture for GenAI, LLM fine‑tuning/RAG, ML Ops, RPA, event streaming, and API‑first integration.

Fluency across major hyperscaler stacks (AWS SageMaker & Bedrock, Google Vertex AI & Duet, Azure OpenAI & ML).

Working knowledge of security, data‑governance, and DevSecOps best practices.

Methodology & Frameworks: TOGAF 9/10, Zachman, SAFe, ITIL 4, COBIT, or equivalent; Lean/Agile delivery.

Business Acumen: Proven ability to translate executive vision into actionable technology roadmaps and to build multi‑million‑dollar business cases.

Soft Skills: Polished communicator with board‑room presence; excels at stakeholder alignment, conflict resolution, and cross‑functional leadership.

Certifications (nice‑to‑have): TOGAF, AWS/Azure/GCP Architect Professional, PMP, Certified RPA Architect (UiPath/Automation Anywhere), or equivalent.