AI Architect

Role Summary

We are seeking a seasoned Enterprise AI Architect to serve as the intellectual engine behind our AI strategy and architecture communication function. This role translates approved AI strategy decisions into high-quality written and visual artifacts — architecture decision records (ADRs), capability frameworks, platform narratives, strategy decks, and socialization materials — for both internal leadership and external client audiences.

The role works closely with senior leadership (directly supporting Amit) in producing content for stakeholder presentations, leadership briefings, and client-facing collateral. The ideal candidate combines deep enterprise architecture credibility with exceptional structured-writing and executive-communication skills.

Key Responsibilities

AI Vision, Strategy & Architecture Documentation

• Translate approved AI strategy decisions into durable written artifacts: Architecture Decision Records (ADRs), AI capability frameworks, reference architectures, platform narratives, and target-state blueprints.
• Develop and maintain the AI architecture repository — ensuring decisions, rationale, trade-offs, and dependencies are captured with rigor and traceability.
• Author strategy decks and socialization materials tailored to distinct audiences: engineering teams, business unit leadership, executive committees, and external clients.
  
  

• Lead the incubation of Microsoft Copilot Studio as an enterprise agent platform: define reference patterns, guardrails, and evaluation frameworks (golden datasets, accuracy thresholds, confidence-gated responses) for agent quality.
• Architect the rollout pathway from pilot to production — environment strategy, ALM, DLP policies, licensing considerations, and integration with Azure OpenAI, Dataverse, and Power Platform components.
• Establish adoption enablement: agent design standards, maker governance, and playbooks that allow business units to build Copilot Studio agents within architectural guardrails.
  
  

• Support senior leadership (Amit) in producing content for stakeholder presentations, leadership briefings, board-level updates, and client-facing collateral.
• Convert complex technical concepts (agentic architectures, LLM platform design, data governance, security postures) into crisp, decision-oriented narratives.
• Ensure consistency of messaging, terminology, and visual identity across all strategy and architecture artifacts.
  
  

• Participate in AI strategy and architecture review forums; capture decisions and articulate their downstream architectural implications.
• Evaluate emerging AI platforms, patterns, and vendor capabilities; produce point-of-view (PoV) papers and comparative assessments.
• Provide architectural guardrails and framework inputs to delivery teams executing AI programs (POCs, pilots, production rollouts).
  
  

• 15 yearsof overall IT experience, with significant time in enterprise architecture, solution architecture, or technology strategy roles.
• Demonstrated experience in AI/ML or GenAI programs — platform architecture, LLM integration, cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex, or equivalent).
• Hands-on experience with Microsoft Copilot Studio— agent design, orchestration, knowledge sources, evaluation and rollout at enterprise scale — is a key skill area for this role.
• Proven track record producing executive-grade written artifacts: ADRs, capability models, reference architectures, strategy documents, and C-suite presentations.
• Strong command of enterprise architecture frameworks (TOGAF or equivalent) and modern cloud-native architecture patterns.
• Exceptional written communication — able to write with precision, structure, and audience awareness.
• Advanced proficiency with PowerPoint and document design; ability to independently produce polished, client-ready decks.
• Experience working directly with senior executives and translating their intent into finished artifacts with minimal iteration.
  
  

• Consulting or advisory background with enterprise clients (financial services exposure a plus).
• Familiarity with AI governance, responsible AI frameworks, data residency, and enterprise security requirements (Entra ID, in-tenant deployment models, zero data egress patterns).
• Exposure to agentic AI frameworks (LangGraph, Google ADK, Copilot Studio, or similar) and the broader Power Platform (AI Builder, Power Automate, Dataverse).
• TOGAF, Azure Solutions Architect, or comparable certifications.
  
  

• A fully operational ADR and architecture documentation practice with consistent templates and cadence.
• Copilot Studio incubated with defined reference patterns and at least one governed rollout from pilot to production.
• Leadership and client-facing decks produced on time, requiring minimal senior rework.
• Positive stakeholder feedback on clarity and decision-usefulness of strategy artifacts.