Principal AI Agent Architect

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WGA Advisors | Temporary Project-Based Engagement (Corp-to-Corp) | Remote with International Travel | $125/hour

WGA Advisors is a global management consulting firm and a world-class alternative to “Big-Name” consulting firms. We help senior leaders make and execute the decisions that matter most — across AI and digital transformation strategy, ESG, growth, culture, operations, and enterprise transformation. Our firm focuses on areas of senior management concern, creating enduring value and delivering measurable impact at the intersection of strategy, technology, and operating model design.

WGA’s AI Workforce Solutions practice is at the forefront of helping global enterprises move from isolated AI experimentation to scaled, business-led agentic AI deployment.

WGA Advisors is engaging a Principal AI Agent Architect to lead the most senior architectural and advisory work across our active AI Workforce Solutions portfolio. This is a high-visibility role responsible for shaping enterprise agentic AI strategy, leading C-suite diagnostic engagements, and translating complex business operations into prioritized AI Agent opportunity architectures.

The Principal AI Agent Architect operates as the senior technical and strategic voice on client engagements, partnering directly with WGA’s Managing Director and engagement leadership to deliver executive-ready recommendations benchmarked against the quality standards of BCG, McKinsey, and Bain. The role requires fluency across the modern agentic AI platform landscape, deep operating model intuition, and the executive presence to influence C-suite decisions on multi-million-dollar transformation programs.

This is a 12-week temporary project-based engagement with approximately 5 weeks of international travel across Asia-Pacific. Strong potential for engagement extension based on performance and continued client demand across WGA’s pipeline.

Strategy and architecture leadership

• Lead architecture and design thinking for enterprise AI Worker and AI Agent deployments across multiple concurrent client engagements
• Define agentic AI platform strategy recommendations, including comparative evaluations across the Enterprise tier (e.g., established no-code AI Worker platforms) and Emerging tier (high-growth agentic frameworks)
• Develop platform deployment architectures including centralized vs. federated models, multi-tenant governance frameworks, and integration pathways into existing enterprise technology stacks
• Provide buy-vs-build guidance for use cases where commercially available AI Agents or AI Tools may displace custom development

Client engagement and executive advisory

• Conduct senior executive interviews with C-suite, business unit leadership, and subject matter experts to identify the highest-value AI Worker opportunities
• Translate complex, fragmented business workflows into structured AI Agent opportunity architectures supported by clear business cases
• Define orchestration patterns, human-in-the-loop models, exception handling frameworks, and platform fit-for-purpose decisions
• Serve as the senior client-facing voice on agent design, platform selection, and enterprise AI Workforce strategy
• Shape diagnostic findings iteratively with client leadership, ensuring recommendations reflect operating realities, business constraints, and stakeholder priorities
• Own the development of diagnostic executive roadmaps, prioritized lighthouse use case portfolios, and AI Workforce Readiness Assessments
• Develop initial business cases and investment views including value sizing, sequencing logic, and dependency mapping
• Produce C-suite deliverables benchmarked to the visual, narrative, and analytical standards of…