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.

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

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

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.
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