Principal AI Agent Architect

Temporary Project-Based Engagement (Corp-to-Corp) | Remote with International Travel

About WGA Advisors

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.

The Opportunity

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.

Core Responsibilities

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

Deliverable ownership

• 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 top-tier strategy consulting firms
• Frame diagnostic outputs across the broader Diagnose-Design-Develop-Deploy lifecycle to position clients for sustained value realization

Team leadership and methodology contribution

• Mentor Lead AI Agent Architects and direct day-to-day analytical work product
• Contribute to WGA's proprietary diagnostic methodology, frameworks, and intellectual capital
• Help shape WGA's evolving point of view on agentic AI, platform strategy, and the future of work

Qualifications

Education

• Master's degree required in a relevant discipline, including but not limited to Business Administration (MBA), Computer Science, Artificial Intelligence, Data Science, Engineering, Operations Research, or a closely related technical or strategic field
• Equivalent advanced credentials (PhD, MS in quantitative discipline, or comparable) considered

Experience

• 10 years of professional experience spanning management consulting, enterprise AI, technology architecture, or business transformation
• Minimum 3 years of focused experience in agentic AI, large language model applications, AI Worker deployment, or comparable next-generation AI implementation work
• Demonstrated track record of leading C-suite engagements at Fortune 500, Global 2000, or large enterprise scale
• Experience producing executive deliverables benchmarked against BCG, McKinsey, Bain, Deloitte, Accenture, IBM Consulting, or comparable strategy consulting standards (strongly preferred)

Technical and strategic fluency

• Deep working knowledge of the agentic AI platform landscape across Enterprise and Emerging tiers, including no-code AI Worker platforms, orchestration frameworks, and enterprise LLM deployments
• Proven ability to translate complex, multi-functional business workflows into structured AI Agent architectures and prioritized opportunity portfolios
• Strong intuition for operating model design, process re-engineering, and the human-plus-AI work redesign required to capture sustained value
• Familiarity with enterprise architecture, integration design, data governance, and AI risk frameworks

Communication and executive presence

• Exceptional executive communication skills, including the ability to produce and deliver C-suite-ready presentations
• Demonstrated ability to influence senior leaders, manage stakeholder dynamics, and navigate complex multi-business-unit environments
• Strong written communication including the ability to structure persuasive executive narratives

Engagement Details

• Position Type: Temporary project-based engagement; corp-to-corp (C2C) only
• Duration: Approximately 12 weeks (3 months), with potential for extension based on performance and client pipeline
• Travel: Approximately 5 weeks of international travel to Asia-Pacific across the engagement period
• Travel Compensation: Travel time compensation and travel expense reimbursement provided per WGA Advisors policy
• Work Location: Remote when not traveling; client-site presence required during international travel weeks
• Authorization: Must be authorized to work in the United States and able to obtain international travel visas as required

Pay: $115.00 - $125.00 per hour

Education:

• Master's (Required)

Language:

• English (Required)

Willingness to travel:

• 25% (Required)

Work Location: Hybrid remote in El Segundo, CA 90245

Salary : $115 - $125