AI Architect

Job Description We are seeking an experienced AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions that drive transformation across our global consulting business. This role is pivotal in shaping the technical architecture for GenAI, ML, and agentic AI systems, ensuring scalability, security, and alignment with business objectives. The ideal candidate will possess deep expertise in AI systems, frameworks, and enterprise integration, coupled with a proven track record of delivering impactful AI solutions in complex organizational settings. Why Join Us? This is a high-visibility opportunity to shape how our company embeds AI across its global operations. You’ll work at the intersection of architecture, innovation, and enterprise value creation, helping to define both near-term solutions and long-term strategy. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work to be based in Dallas or Houston, TX. Key Responsibilities: AI Architectural and Strategy: Define and maintain the overarching GenAI, LLMs, RAG pipelines, and autonomous agent systems Design and implement multiple agent orchestration workflows and agentic frameworks. Evaluate and select AI/Agentic tools, frameworks, and platforms (ex: LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI) Align architectural decisions with business performance metrics, latency, security, cost, and explainability requirements. Assess emerging AI technologies and trends, recommending their adoption where appropriate Design scalable architectures that support composability, modularity, observability, and scalability of AI solutions, ensuring alignment with business strategy, data strategy, and technology roadmap Participate as a key stakeholder in the development of our AI Roadmap Solution Design: Collaborate with cross-functional teams, including data architects, data scientists, enterprise architecture, security, AI product managers, and business stakeholders Guide proof-of-concept development and prototype evaluations to validate architecture decisions Provide architecture review, feedback, and mentorship to AI engineering teams Conduct structured build-vs-buy evaluations and contribute to platform roadmap decisions Governance: Embed responsible AI principles, privacy, and governance frameworks into system design Ensure AI architecture complies with enterprise standards, security policies, and regulatory frameworks Partner with AI governance, data governance, security, and compliance teams to implement transparency and auditability Qualifications: Technical Experience: BA/BS plus at least 10 years of relevant architecture experience or demonstrated equivalency of experience and/or education At least 4 years of experience in ML or AI systems design and architecture Proven expertise in designing and deploying enterprise-grade genAI, RAG models, agentic AI, and ML pipelines. Working knowledge/experience with interoperability protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) for cross-platform agent communication. Experience designing/implementing solutions with agentic frameworks (e.g., LangChain, Azure AI Agent Services, n8n, Autogen, etc.). Working knowledge of AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access control. At least 3 years of experience building AI solutions in AWS or equivalent Ability to build AI POCs and design for enterprise production Leadership & Collaboration: Excellent collaboration and communication skills are key Must be comfortable engaging with key stakeholders and IT top-level leadership Proven ability to lead and influence cross-functional teams, including software engineer teams and software product managers Demonstrated ability to stay on top of AI trends and best practices Additional Information Preferred Qualifications Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub Actions CI/CD pipelines using YML, AWS CloudFormation, Terraform Is intellectually curious in order to keep on top of new concepts in AI/ML, trends, and best practices Containerization tools like Kubernetes and Docker Programming languages/frameworks including C#, Python, JavaScript, JSON Azure DevOps for recording and tracking of Epics, Features and User Stories AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. Compensation:

$200,000-$200,000 per year

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