Enterprise AI Architect - 15+ yrs- Chicago IL Remote - iMedhas Consulting Services

Overview We are looking for a seasoned Enterprise AI Architect to spearhead endtoend assessments for Enterprisescale AI and Intelligent Automation initiatives at midsized clients. Operating as a trusted advisor to the CEO and CEO1 level, you will diagnose currentstate capabilities, craft futurestate architectures, and build pragmatic transformation roadmaps that unlock measurable value from GenerativeAI, 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 longterm platform resilience. Key Responsibilities Area What You Will Do Executive Discovery & Assessment Lead Csuite workshops to capture business objectives, automation pain points, and AI ambitions. Conduct rapidmaturity assessments using TOGAF/SAFe, AI Capability Maturity Models, and industry benchmarks.Quantify value pools, ROI, and risk for prioritized usecases (e.g., GenAI copilots, intelligent document processing, autonomous workflows). Target Architecture & Roadmap Define endtoend architectures covering data, application, integration, security, and governance layers cloudagnostic but fluent in AWS, Azure, and Google Cloud Platform native AI services.Establish reference patterns for LLM orchestration, RAG pipelines, agentbased automation, and eventdriven microservices.Craft 12 to 24month transformation roadmaps with clear milestone KPIs, talent requirements, and changemanagement plans. Governance & Operating Model Design AI/Automation CentersofExcellence, policy guardrails, and federated governance models (data privacy, ethics, compliance).Recommend platformselection criteria (build vs. buy) and partner ecosystems. Proofs of Value & QuickWin Delivery Oversee rapid proofs of value to validate assumptions, derisk technology choices, and demonstrate tangible impact within 90days. Thought Leadership & Capability Building Mentor client and internal teams; publish POVs on emerging AI trends, DevOpsforML, and responsible AI frameworks.Contribute reusable blueprints, assessment accelerators, and methodology assets across the consulting practice.

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