Senior Platform Architect – DevOps & AI Enablement
About the position We are seeking a Senior Platform Architect – DevOps & AI Enablement to design, govern, and evolve the delivery platforms that enable AI-enabled, agentic, and digital solutions to move from development to production at enterprise scale. This role defines how solutions are built, deployed, operated, and observed, with a primary focus on DevOps architecture, platform standards, and delivery patterns. AI experience is important, not from a model-building perspective, but in understanding how AI and agent-based workloads impact deployment, observability, governance, and runtime operations. This is an architect-level role focused on system design, standards, and oversight rather than day-to-day engineering execution. This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX. Responsibilities • Define and evolve the platform and DevOps reference architecture supporting AI-enabled and digital solutions • Establish golden paths for build, test, deploy, operate, and observe across environments • Design and govern CI/CD pipelines, infrastructure-as-code, and environment promotion models • Enable secure, repeatable delivery for AI services and agent-based workloads, including deployment, authentication, observability, and control boundaries • Partner with Security and Enterprise Architecture to translate policy into automated delivery and runtime controls • Ensure auditability, traceability, reliability, and observability are embedded into platform design • Provide architectural guidance through design reviews and cross-team collaboration • Identify delivery bottlenecks and evolve platform capabilities as AI and agentic patterns mature Requirements • BA/BS in Computer Science, Engineering, or a related field plus at least 10 years of experience in DevOps, platform architecture, or large-scale distributed systems, or demonstrated equivalency of experience and/or education. • Proven experience designing and governing enterprise DevOps or delivery platforms • Strong knowledge of: CI/CD and deployment architectures • Infrastructure as Code (e.g., Terraform or equivalent) • Cloud-native architectures (AWS, Azure, and/or GCP) • Observability, telemetry, and reliability practices • Experience supporting AI-enabled systems in production environments • Ability to operate at an architect level, defining standards, patterns, and reference designs Nice-to-haves • Experience with AI platform delivery, AIOps, or AgentOps concepts • Familiarity with autonomous systems governance or runtime controls • Experience operating in large, federated enterprises • Master’s degree preferred Benefits • 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. Apply tot his job