Senior Principle Architect AI &Automation Assessment

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 digitaltransformation programs in a consulting environment.
• Technical Depth:

• Handson architecture for GenAI, LLM finetuning/RAG, ML Ops, RPA, event streaming, and APIfirst integration.
• Fluency across major hyperscaler stacks (AWSSageMaker &Bedrock, GoogleVertexAI &Duet, AzureOpenAI &ML).
• Working knowledge of security, datagovernance, and DevSecOps best practices.

• Methodology & Frameworks: TOGAF9/10, Zachman, SAFe, ITIL4, COBIT, or equivalent; Lean/Agile delivery.
• Business Acumen: Proven ability to translate executive vision into actionable technology roadmaps and to build multimilliondollar business cases.
• Soft Skills: Polished communicator with boardroom presence; excels at stakeholder alignment, conflict resolution, and crossfunctional leadership.

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.