Enterprise AI Architect – Remote

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

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, Dev Ops‑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 Sage Maker & Bedrock, Google Vertex AI & Duet, Azure OpenAI & ML).

Working knowledge of security, data‑governance, and Dev Sec Ops  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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