Overview
We are looking for a seasoned Enterprise AI Architect to spearhead end‑to‑end assessments for Enterprise‑scale AI and Intelligent Automation initiatives at mid‑sized clients. Operating as a trusted advisor to the CEO and CEO‑1 level, you will diagnose current‑state capabilities, craft future‑state architectures, and build pragmatic transformation roadmaps that unlock measurable value from Generative AI, machine learning, RPA, and intelligent workflow orchestration. You will serve as the critical link between executive vision, technology strategy, and delivery execution—balancing quick wins with long‑term platform resilience.
Key Responsibilities
Area
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).
Security & Governance : 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.
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Enterprise Architect • Chicago, IL, US