We are looking for a seasoned Enterprise AI Architectย to spearhead endโtoโend assessments for Enterpriseโscale AI and Intelligent Automation initiatives at midโsized clients. Operating as a trusted advisor to the CEO and CEOโ1 level, you will diagnose currentโstate capabilities, craft futureโstate architectures, and build pragmatic transformation roadmaps that unlock measurable value from GenerativeโฏAI, machine learning, RPA, and intelligent workflow orchestration. You will serve as the critical link between executive vision, technology strategy, and delivery executionโbalancing quick wins with longโterm platform resilience.
Key Responsibilities
Area
What You Will Do
Executive Discovery & Assessment
โข Lead Cโsuite workshops to capture business objectives, automation pain points, and AI ambitions.ย
โข Conduct rapidโmaturity assessments using TOGAF/SAFe, AI Capability Maturity Models, and industry benchmarks.
โข Quantify value pools, ROI, and risk for prioritized useโcases (e.g., GenAI copilots, intelligent document processing, autonomous workflows).
Target Architecture & Roadmap
โข Define endโtoโend architectures covering data, application, integration, security, and governance layersโcloudโagnostic but fluent in AWS, Azure, and GCP native AI services.
โข Establish reference patterns for LLM orchestration, RAG pipelines, agentโbased automation, and eventโdriven microservices.
โข Craft 12โ to 24โmonth transformation roadmaps with clear milestone KPIs, talent requirements, and changeโmanagement plans.
Governance & Operating Model
โข Design AI/Automation CentersโฏofโฏExcellence, policy guardrails, and federated governance models (data privacy, ethics, compliance).
โข Recommend platformโselection criteria (build vs. buy) and partner ecosystems.
Proofs of Value & QuickโWin Delivery
โข Oversee rapid proofs of value to validate assumptions, deโrisk technology choices, and demonstrate tangible impact within 90โฏdays.
Thought Leadership & Capability Building
โข Mentor client and internal teams; publish POVs on emerging AI trends, DevOpsโforโML, and responsible AI frameworks.
โข Contribute reusable blueprints, assessment accelerators, and methodology assets across the consulting practice.
Qualifications
Education:ย Bachelorโs in Computer Science, Engineering, or related field (Masterโs or MBA preferred).
Experience:ย 15+โฏyears in enterprise / solution architecture, with 8+โฏyears leading AI, automation, or digitalโtransformation programsย in a consulting environment.
Technical Depth:
Handsโon architecture for GenAI, LLM fineโtuning/RAG, ML Ops, RPA, event streaming, and APIโfirst integration.
Fluency across major hyperscaler stacks (AWSโฏSageMaker &โฏBedrock, GoogleโฏVertexโฏAI &โฏDuet, AzureโฏOpenAI &โฏML).
Working knowledge of security, dataโgovernance, and DevSecOps best practices.
Methodology & Frameworks:ย TOGAFโฏ9/10, Zachman, SAFe, ITILโฏ4, COBIT, or equivalent; Lean/Agile delivery.
Business Acumen:ย Proven ability to translate executive vision into actionable technology roadmaps and to build multiโmillionโdollar business cases.
Soft Skills:ย Polished communicator with boardโroom presence; excels at stakeholder alignment, conflict resolution, and crossโfunctional leadership.
Certifications (niceโtoโhave):ย TOGAF, AWS/Azure/GCP Architect Professional, PMP, Certified RPA Architect (UiPath/AutomationโฏAnywhere), or equivalent.