Senior Solution Architect - Agentic AI (Hybrid - Dallas or Houston, TX)

Company Description

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There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

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Job Description

As a Senior Solution Architect – Agentic AI, you will design and deliver transformative AI-driven solutions that streamline enterprise processes and drive measurable business value. With deep expertise in Agentic AI, multi-agent orchestration, and generative AI, you will architect solutions that automate manual tasks, enable AI-assisted or autonomous workflows, and optimize outcomes across critical functions (e.g., IT, HR, Finance, Operations).

You will collaborate with business stakeholders (e.g., process owners, domain leaders) to design and deliver high-impact define end-to-end use cases. Working alongside colleagues including Process Champions, AI Architects, Data Architects/Engineers, AI Solution Engineers, and IT teams, you’ll ensure solutions are secure, scalable, and production-ready, selecting optimal agentic frameworks and patterns to meet business needs.

This position offers flexibility for hybrid work schedules to include both in-office presence and some flexibility for virtual/telecommute work to be based in Houston or Dallas, TX.

Key Responsibilities

• Solution Design: Architect and develop end-to-end agentic AI solutions using appropriate technologies and frameworks, incorporating multi-agent collaboration and aligning with business requirements and measurable KPIs (e.g., cost savings, efficiency gains).
• User Experience: Prioritize intuitive, user-centric design with seamless, context-aware interactions (chat, voice, embedded UI), following conversational UX best practices and ensuring clear human-in-the-loop escalation paths.
• Delivery POD Leadership: Lead cross-functional delivery PODs (including IT custodians, engineers, and process owners) to drive high-ROI solutions with rapid delivery cycles, ensuring alignment across teams.
• Standards & Best Practices: Define, maintain, and promote best practices for agentic AI solution design and delivery, including frameworks, orchestration patterns, naming conventions, CI/CD pipelines, guardrails, and testing strategies, to ensure consistency, scalability, and reliable multi-agent deployments aligned with enterprise standards.
• Solution Pattern Framework: Manage and support a framework that classifies agentic solutions (e.g., autonomous workflows, AI-assisted tasks, orchestration patterns) to drive consistency, accelerate delivery, and ensure alignment with enterprise standards.
• Reusable Assets: Develop, manage, and promote reusable agentic solution components (e.g., prompts, orchestration patterns, connectors, guardrails) to accelerate delivery, ensure consistency, and maximize enterprise-wide value.
• Agentic Governance: Manage a registry of all Agents and Agentic Processes, maintaining key metadata (e.g., purpose, ownership, performance metrics, dependencies) to ensure well-defined solutions that perform optimally against expectations and align with enterprise governance standards.
• Evangelism & Enablement: Create compelling demonstrations of AI and agentic solutions to showcase the 'art of the possible,' inspiring stakeholders and driving adoption of innovative capabilities; mentor teams on agentic AI frameworks, autonomy design, and safety patterns, sharing hands-on implementation insights to enhance solution delivery.

Qualifications

Minimum Requirements:

• BA/BS in Computer Science, Data Science, Information Systems, or a related field, plus at least 10 years of relevant experience in solution architecture, automation, or AI platforms, with 3+ years designing and deploying production-grade agentic AI solutions with multi-agent orchestration at enterprise scale, or demonstrated equivalency of experience and/or education.