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Full-time
bachelor degree, postgraduate degree
Posted 8d ago
~40 hrs/week
Responsibilities
The AI & Integration Architect will lead the enterprise AI Agent Center of Excellence and define the reference architectures for AI applications. They are responsible for the platform roadmap, governance, safety, and technical leadership of AI engineering teams.
Requirements
Candidates must have 12+ years of experience in senior AI/solution architecture with a proven track record of delivering production-grade AI/ML applications. Proficiency in Microsoft Azure AI Foundry, LLMOps, and enterprise-level orchestration frameworks is required.
Full job description
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 enterprise LLMOps/AgentOps practices as company standards: evaluation harnesses, observability and tracing, prompt and version management, regression testing, drift detection, retraining triggers, and rollback procedures.
Own governance, security, and identity integration for AI applications and agents: authentication, authorization, data-access boundaries, content-safety guardrails, and audit trails; be accountable for the controls that support SEC and energy-sector regulatory compliance.
Lead build-versus-partner-versus-buy strategy with the Head of AI, and own platform, tooling, and vendor investment recommendations at the application and orchestration layers.
Lead cross-functional delivery, turning prioritized use cases and knowledge-graph services into governed, orchestrated, production AI applications by directing data, security, platform, and business partners.
Required Qualifications
12+ years in senior AI/solution architecture, including ownership of enterprise application and orchestration layers (not just models or notebooks) and delivery of AI/ML applications to production.
Hands-on and strategic ownership of Microsoft Foundry / Azure AI Foundry, or strong, directly transferable experience with a comparable enterprise AI orchestration platform.
Track record designing and shipping LLM-powered applications and multi-agent systems: orchestration, tool/function calling, retrieval, memory, and structured output.
Experience with GenAI orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or comparable) and retrieval-augmented generation (RAG)/vector-store integration patterns.
Deep Microsoft Azure ecosystem fluency: identity (Entra ID), networking, security, and container/app hosting, including enterprise landing-zone design.
Enterprise LLMOps/MLOps discipline: evaluation, observability, versioning, and safety/quality gating for AI systems.
TOGAF (or equivalent) enterprise-architecture grounding and/or an advanced degree in AI/ML.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience standing up an enterprise AI agent platform or Center of Excellence from the ground up, establishing the operating model, standards, and governance others adopt.
Multi-cloud AI platform fluency (AWS, Azure, and/or Google Cloud), reflecting a provider-agnostic approach.
Experience building audit trails and compliance controls for agentic or automated workflows in a regulated environment.
Familiarity with multi-agent orchestration frameworks and emerging agent-interoperability standards (e.g., MCP, A2A).
Oil & gas domain experience, or experience in another complex, regulated operating environment.
Master's degree in Artificial Intelligence / Machine Learning or a closely related discipline; expert-level Azure certifications; recognized community/thought leadership in the Azure/AI ecosystem.
Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Related keywords
AIIntegration ArchitectAzure AI FoundryLLMAgentic AICenter of ExcellenceReference ArchitectureGovernanceLLMOpsMLOpsLangChainLlamaIndexSemantic KernelRAGEntra IDTOGAF
Permian Resources (NYSE: PR) is a leading, independent, pure-play oil & natural gas company in the Permian Basin.
Industry
Oil and Gas
Company size
201-500 employees
Founded
2022
Headquarters
Midland, Texas
LinkedIn followers
43,890
Total funding
$3.7B
Headquartered in Midland, Texas, Permian Resources is an independent oil and natural gas company focused on driving sustainable returns through the responsible acquisition, optimization and development of high-return oil and natural gas properties. The Company’s operations are focused in the Permian Basin, with assets concentrated in the core of the Delaware Basin. Permian Resources was created as a result of the merger of Centennial Resource Development and Colgate Energy on September 1, 2022.
Offices: 300 N Marienfeld St, Ste. 1000, Midland, Texas 79701, US
How many Management & Leadership jobs are open in Midland, TX right now?
There are currently 461 open management & leadership positions in Midland, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Management & Leadership roles in Midland, TX?
Companies currently hiring include AutoZone, Diamondback Energy, AST SpaceMobile, ProPetro Services, Inc, The Wendy's Company, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Management & Leadership jobs in Midland, TX?
Yes — 43 of the 461 open management & leadership positions offer remote or hybrid work (17 remote, 26 hybrid).
How do I apply for Management & Leadership jobs in Midland, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.