AI & Integration Architect

Job Description: Permian Resources (NYSE: PR) is seeking an AI & Integration Architect in Midland, TX. This role owns the application, orchestration, and AI-collaboration layers of Permian Resources' enterprise AI platform, and is accountable for how AI applications and agents are built, governed, deployed, and connected across the business. This is a founding platform role: the incumbent stands up the company's AI Agent Center of Excellence, sets the enterprise standards and reference architectures that delivery teams build within, and serves as the senior technical decision partner to the Head of AI. It blends hands-on architectural authority with enterprise scope, owning the platform, the operating model, governance and safety, and the multi-year roadmap for agentic AI. General Responsibilities Leadership & Scope •  Own the enterprise AI application, orchestration, and integration platform and its multi-year roadmap; be accountable for platform outcomes, adoption, cost, and risk. •  Stand up the AI Agent Center of Excellence: the operating model, standards, reusable patterns, enablement, and use-case intake and prioritization. •  Set the enterprise reference architectures, guardrails, and shared model catalog that AI delivery teams build within; act as the design authority for agentic AI. •  Build, mentor, and technically lead a team of AI and integration engineers (direct and matrixed); grow the company's agentic-AI talent bench. •  Serve as the senior technical decision partner to the Head of AI; own build-versus-partner-versus-buy and platform-investment recommendations. •  Chair the AI architecture and governance review; be accountable for enterprise AI risk, model and agent safety, and regulatory compliance. •  Represent the AI platform to executive leadership and to risk, audit, and security stakeholders; translate platform strategy into board-ready investment decisions. Core Platform Responsibilities •  Own and govern Microsoft Foundry (Azure AI Foundry) as the enterprise orchestration platform for building, deploying, evaluating, and governing AI applications and agents, setting standards for project structure, environments, and the shared model catalog, and delegating delivery to the teams that build within them. •  Architect and lead the enterprise AI agent program: how agents are designed, orchestrated (single- and multi-agent), granted tools, given memory and context, evaluated, and promoted to production, and codify the reusable pattern library the organization adopts. •  Own model strategy at the orchestration layer: model catalog and selection, routing across providers and tiers, prompt and tool-use patterns, and a model-agnostic posture so the company is never locked to a single vendor. •  Define and govern the integration surface between AI applications/agents and the data platforms, knowledge services, and systems of record they depend on, via clean, versioned APIs and contracts. •  Establish…