Senior Gen AI Architect - Bay Area, CA|New York|New Jersey

Job Title: Senior Gen AI Architect

Location: Bay Area, CA | New York | New Jersey Hybrid / Limited Travel

Overview

• We are looking for a seasoned Senior Principal 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 Google Cloud Platform 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, DevOps 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 SageMaker & Bedrock, Google Vertex AI & Duet, Azure OpenAI & ML).
• 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 multimillion-dollar business cases.

Soft Skills:

• Polished communicator with boardroom presence; excels at stakeholder alignment, conflict resolution, and cross-functional leadership.

Certifications (nice to have):

• TOGAF, AWS/Azure/Google Cloud Platform Architect Professional, PMP, Certified RPA Architect (UiPath/Automation Anywhere), or equivalent