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AECOM · 4 months ago

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

Houston, TX

Full-time

Hybrid

Senior Level, Lead/Staff

$170K/yr - $200K/yr

10+ years exp

AECOM is a global infrastructure consulting firm dedicated to delivering a better world. In the role of Senior Solution Architect – Agentic AI, you will design and implement AI-driven solutions to enhance enterprise processes, collaborating with various stakeholders to ensure solutions are effective and scalable.

Civil EngineeringConstructionConsultingEnergyGovernmentInformation Technology

No H1B

Responsibilities

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)

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

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

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

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

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

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

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

Qualification

Agentic AIMulti-agent orchestrationGenerative AICloud-native architecturesAI securityComplianceEnterprise integrationsConversational UX/UIProject coordinationAnalytical mindsetStakeholder engagementStrategic thinkingCommunication skills

Required

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

Proven success integrating AI agents with business-critical systems (e.g., ERP, CRM, ITSM) and workflows across a variety of business functions

Demonstrated impact in automating manual processes and enabling AI-assisted or autonomous operations

Hands-on expertise in Agentic AI, generative AI, agent autonomy, tool use, and human-in-the-loop patterns

Working knowledge of key and emerging standards such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols, enabling interoperability, secure data exchange, and orchestration across diverse agentic frameworks and platforms

Project coordination experience across cross-functional teams

Understanding of conversational UX/UI and prompt-based interaction models

Proficiency with agentic frameworks (e.g., LangChain/LangGraph, Microsoft Autogen, Azure AI Agent Service, CrewAI, N8N, Automation Anywhere, UiPath) and ability to evaluate and select fit-for-purpose solutions based on business needs, scalability, and integration requirements

Expertise in cloud-native architectures (AWS, Azure, GCP), CI/CD, Infrastructure-as-Code (IaC), and containerization, meeting production-grade SLAs/SLOs

Strong experience with enterprise integrations (REST/GraphQL, webhooks, event-driven systems), identity/access (OAuth/OIDC, SCIM), and collaboration platforms (Teams, Slack)

Familiarity with AI security and compliance (e.g., data isolation, audit trails, PII protection)

Strategic thinking and enterprise solution design

Strong stakeholder engagement and executive-facing presentation ability

Ability to break down complex technical topics for non-technical audiences

Analytical mindset with a data-driven approach to problem-solving