Remote AI Solutions Architect - Enterprise Agentic Platform

Description

We are looking for an AI Solutions Architect to join our Grid & Energy Services team and help define the next generation of intelligent energy products across our platform ecosystem. This role will focus on building the agentic AI foundation that development teams will use to deliver advanced AI-driven capabilities across energy management, DER, VPP, solar, and data center solutions.

As an AI Solutions Architect, you will design and scale the foundational framework for how AI agents are authored, orchestrated, evaluated, governed, and operated across the organization, with Microsoft Azure AI Foundry at the center of the stack. You will create reusable patterns, shared services, and developer-facing abstractions that enable application teams to rapidly build production‑grade AI solutions.

This is a high‑impact role at the intersection of AI architecture, cloud platforms, and developer enablement. You will partner closely with engineering, product, infrastructure, and security teams to build scalable, secure, and developer‑friendly AI systems that accelerate innovation across our intelligent energy platform portfolio.

This role is remote; however, the candidate(s) will be expected to relocate at their own expense to our onsite Houston location by Q1 in 2027.

Q1 2027 is an approximate timeframe and is subject to change at any time.

• Architect and build the company’s agentic AI framework on Microsoft Azure AI Foundry, including the reference architecture, reusable SDKs, templates, and shared services that enable teams to rapidly develop and deploy AI‑driven applications.
• Define the core patterns and capabilities for agent development, including tool integration, function calling, retrieval‑augmented generation (RAG), memory, planning workflows, multi‑agent orchestration, and human‑in‑the‑loop interactions.
• Own the foundational platform services shared across all AI agents, including model routing, prompt and policy management, observability, tracing, evaluation frameworks, content safety, and cost optimization.
• Evaluate and integrate Azure AI Foundry services and supporting tech such as Foundry Agent Service, AI Search, Prompt Flow, and Auto Gen into a scalable AI platform.
• Partner closely with engineering and application teams to guide agent design reviews, solve complex integration challenges, and drive adoption across the organization.
• Create and maintain reference architectures, golden‑path templates, and engineering standards for production‑grade AI agents with a focus on grounding, evaluation, guardrails, reliability, and safe autonomy.
• Drive responsible AI and governance standards across the platform, including testing strategies, monitoring, red‑team exercises, operational controls, and rollback mechanisms for agent behavior and model performance.
• Develop technical documentation, architecture diagrams, and internal enablement materials while mentoring engineers on agentic AI principles, platform standards, and applied AI engineering best practices.

• 8+ years of experience in software architecture, platform engineering, or senior technical leadership roles, including recent hands‑on experience building and deploying production AI or agentic systems.
• Expertise designing and operating enterprise‑scale solutions on Microsoft Azure, including compute, networking, identity management, security, data platforms and cost optimization.
• Strong understanding of modern cloud‑native architecture patterns including microservices, event‑driven systems, API‑first development, infrastructure as code (Bicep/Terraform), CI/CD pipelines, and Azure Well‑Architected Framework principles.
• Hands‑on experience with Microsoft Azure AI Foundry and related technologies including Azure OpenAI, Foundry Agent Service, AI Search, Prompt Flow, evaluation frameworks, and content safety capabilities.
• Proven experience designing and implementing agentic AI architectures including multi‑agent orchestration, retrieval‑augmented generation (RAG), tool and function calling, memory management, planning, and human‑in‑the‑loop workflows.
• Familiarity with modern AI…