Lead AI Agent Architect

About WGA AdvisorsWGA 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 OpportunityWGA Advisors is engaging a Lead AI Agent Architect to drive the analytical and architectural work that underpins our AI Workforce Solutions diagnostic methodology. This is a high-impact execution role responsible for the workflow analysis, use case design, platform evaluation, and client-ready artifact development that translate WGA's diagnostic engagements into measurable client outcomes.

The Lead AI Agent Architect partners closely with the Principal AI Agent Architect and engagement leadership to produce the operational intelligence behind every diagnostic recommendation. The role demands sharp analytical thinking, fluency with the modern agentic AI platform landscape, and the ability to produce executive-grade deliverables under the quality standards of top-tier strategy consulting firms.

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 ResponsibilitiesDiagnostic analysis and opportunity identification

Conduct current-state workflow analysis across client business operations to identify repetitive, rules-based, and high-volume processes suitable for AI Worker deploymentMap process flows, decision points, exception handling pathways, and human-AI handoff patternsIdentify task clusters, role-level work concentrations, and operating activities where AI Agents can reduce manual effort, improve consistency, and increase throughputSupport workflow walkthroughs, stakeholder shadowing, and operating observation sessionsUse case design and platform evaluation

Design candidate AI Agent use case profiles including agent role, primary value levers, dependencies, readiness considerations, and implementation complexityConduct comparative platform evaluations across the agentic AI landscape, assessing fit against client workflow requirements, governance constraints, and scalability considerationsDevelop fit-for-purpose assessments comparing platform capabilities, deployment models, and integration considerationsSupport buy-vs-build analysis for use cases where commercially available AI Agents or AI Tools may displace custom developmentSizing, prioritization, and readiness assessment

Develop opportunity sizing models including transaction volumes, cycle times, labor intensity, and directional value estimatesBuild prioritization matrices across value, feasibility, readiness, dependency risk, and implementation complexity dimensionsConduct AI Workforce Readiness Assessments covering organizational, process, governance, and technology stack gapsSupport sequencing analysis across near-term, medium-term, and later-wave deployment horizonsClient-ready artifact development

Build the analytical and visual artifacts that support executive diagnostic deliverables, including opportunity inventories, use case profiles, platform comparison frameworks, and readiness scorecardsProduce executive-grade slides, exhibits, and supporting analyses benchmarked to the standards of top-tier strategy consulting firmsSupport development of diagnostic executive reports, business cases, and roadmap deliverablesContribute to client-facing working sessions, interview synthesis, and findings playbacks
QualificationsEducation

Bachelor's degree required in a relevant discipline, including but not limited to Business Administration, Computer Science, Artificial Intelligence, Data Science, Engineering, Economics, Operations Research, Industrial Engineering, or a closely related technical, analytical, or business fieldStrong undergraduate academic record from a recognized institution; Master's degree a plusExperience

5–8 years of professional experience spanning management consulting, enterprise AI, business analysis, or process transformationMinimum 2 years of focused experience in agentic AI, large language model applications, AI automation, or comparable next-generation AI workDemonstrated experience supporting C-suite or senior executive engagements within a structured consulting methodologyExperience at BCG, McKinsey, Bain, Deloitte, Accenture, IBM Consulting, or comparable strategy consulting firm preferredTechnical and analytical fluency

Working knowledge of the agentic AI platform landscape, including no-code AI Worker platforms, orchestration frameworks, and enterprise LLM deploymentsStrong analytical skills including workflow mapping, opportunity sizing, feasibility assessment, and prioritization analysisComfort with structured problem-solving, hypothesis-driven analysis, and synthesizing complex information into clear recommendationsFamiliarity with business process analysis, operating model design, or process re-engineering methodologiesCommunication and execution

Strong written and verbal communication skills, including the ability to translate complex AI concepts for business audiencesProven ability to produce executive-grade slides, exhibits, and analytical deliverables under tight timelinesComfort operating in fast-paced, client-facing environments with iterative feedback cycles and high quality standardsDemonstrated ownership, follow-through, and ability to manage multiple workstreams concurrently
Engagement DetailsPosition Type: Temporary project-based engagement; corp-to-corp (C2C) onlyHourly Rate: $85/hourDuration: Approximately 12 weeks (3 months), with potential for extension based on performance and client pipelineTravel: Approximately 5 weeks of international travel to Asia-Pacific across the engagement periodTravel Compensation: Travel time compensation and travel expense reimbursement provided per WGA Advisors policyWork Location: Remote when not traveling; client-site presence required during international travel weeksAuthorization: Must be authorized to work in the United States and able to obtain international travel visas as required