AI Solutions Architecture

Managing Director, AI Solutions Architecture

MANAGING DIRECTOR · DELIVERY POD LEAD · FOUNDING TEAM

Practice: AI Services · Reports to: Head of AI Services · Location: Flexible across CFGI offices; travel as required

ABOUT CFGI AND AI SERVICES

CFGI is a leading advisory firm serving the Office of the CFO, with approximately 1,400 professionals across more than 30 offices in North America and Europe. CFGI is independent of audit and vendor relationships, advising CFOs, boards, and private equity sponsors without conflict. AI Services is CFGI's newest practice: a horizontal capability that helps clients assess AI and data readiness, stand up governance, and operationalize AI across the finance function and the enterprise. This is a founding-team seat with direct influence over how the practice is built.

THE ROLE

You are the practice's senior technical authority and a player-coach. You serve as lead technical assessor inside every diagnostic, convert findings into buildable and commercially scoped roadmaps, and personally ship the first client builds while hiring the engineering team behind you. You are equally credible whiteboarding with a CIO and shipping production code the same afternoon.

WHAT YOU WILL DO

• Serve as lead technical assessor on readiness diagnostics: data, architecture, tooling, and security scans.
• Translate diagnostic findings into buildable roadmaps and scoped, priced statements of work.
• Personally design and ship early client builds: agents, workflow automation, and data products.
• Define the practice's technical delivery method: agentic design patterns, evaluation, security, and deployment standards.
• Own the practice's platform depth across Claude Enterprise, Claude Code, Cowork, MCP integration, and adjacent tooling.
• Build and lead the Delivery Pod: hire and coach AI and data engineers; quality-assure every build.
• Act as technical authority in pursuits; defend architectures and estimates with client technology leadership.

WHAT YOU MUST HAVE

• 12+ years across solutions architecture, engineering leadership, or applied AI, including 3+ years client-facing or pre-sales.
• Have taken large language model or agentic systems to production at enterprise scale, beyond proofs of concept.

WHAT SETS YOU APART

• Deep hands-on capability: Python and TypeScript; orchestration and loop design; subagent patterns; evaluation harnesses; memory architectures including graph-based memory.