Design and build AI solutions using Microsoft AI stack (Azure, Copilot Studio, Azure AI Foundry). Develop copilots, RAG and agentic workflows; create API services, implement secure data access, and build CI/CD pipelines. Collaborate with product, engineering, security, and business teams to deliver compliant, observable, and scalable AI capabilities for utilities.
Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.
We are seeking an AI Developer to design and build AI‑powered solutions using Microsoft’s AI ecosystem, primarily Azure, GitHub, Copilot Studio, and Azure AI Foundry. In this role, you will develop and integrate conversational copilots, retrieval‑augmented generation (RAG) experiences, and automation workflows into enterprise applications. You will collaborate closely with product, engineering, security, and business stakeholders to deliver scalable, compliant, and measurable AI capabilities that support utility and energy customers.
Duties and Responsibilities:
Solution Development & Delivery
This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!
#LI-QW1
Duties and Responsibilities:
Solution Development & Delivery
- Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customer‑centric outcomes.
- Develop and configure copilots using Copilot Studio, including topics, actions, plugins/connectors, and inclusive conversation design.
- Implement AI integration patterns such as retrieval‑augmented generation (RAG), tool/function calling, and agent‑based workflows into applications and internal tooling.
- Create and maintain API services (for example, Azure Functions, App Service, and containerized services) to expose AI capabilities to enterprise business systems.
- Design and implement secure and accountable data access patterns for enterprise knowledge sources, including SharePoint, Azure SQL, and Blob Storage.
- Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies, and release management in a collaborative and agile environment.
- Build CI/CD pipelines that support automated testing, security scanning, and deployments to Azure.
- Apply engineering best practices, including unit and integration testing, telemetry, error handling, performance tuning, and clear documentation.
- Follow secure‑by‑design practices, including identity and access management (Entra ID), secrets management (Key Vault), and least‑privilege access.
- Support responsible AI and governance requirements, including logging, auditing, evaluation, content safety, and prompt and security guardrails.
- Partner with security and compliance teams to ensure AI solutions align with enterprise policies and regulatory requirements common in the utilities and energy sector.
- Translate business needs into AI solution designs, user stories, and technical delivery plans that are practical and measurable.
- Work cross‑functionally with product, engineering, and business partners to define success metrics, validate outcomes, and iterate based on feedback and analytics.
- Provide guidance and enablement to teams adopting Copilot Studio and Azure AI Foundry patterns, fostering shared ownership and continuous learning.
- Experience building software solutions using Azure, including at least one of the following: Functions, App Service, Storage, SQL, or API Management.
- Hands‑on development experience with Azure DevOps and/or GitHub, including pull request workflows, branching strategies, issue tracking, and CI/CD.
- Experience developing AI‑driven applications, including at least one of the following:
- Copilots, chatbots, or conversational user experiences
- Retrieval‑based solutions (RAG) and enterprise search
- Prompt engineering and prompt or version management
- Tool/function calling or agentic workflows
- Ability to work with REST APIs and integrate AI solutions with enterprise systems.
- Strong software engineering fundamentals, including data structures, API design, testing, and troubleshooting.
- Clear communication skills with the ability to explain AI concepts to both technical and non‑technical audiences.
- Experience with Copilot Studio, including topics, actions, connectors, publishing, and governance.
- Experience with Azure AI Foundry, including prompt flows and orchestration, evaluation, deployments, and observability.
- Familiarity with Azure OpenAI or other large language model providers and model lifecycle concepts.
- Experience with enterprise identity solutions, including Entra ID, OAuth2, role‑based access control, and secure data patterns.
- Knowledge of monitoring and observability tools such as Application Insights, Log Analytics, and dashboards.
- Experience with Power Platform, Logic Apps, or other integration and automation platforms.
- Comfort working in agile delivery models with a collaborative, innovative, and accountable approach.
This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!
#LI-QW1
Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!
The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.
Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email [email protected].
Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com
Itron Austin, Texas, USA Office
1250 S Capital of Texas Highway, Austin, United States, 78746
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Design, build, and evaluate conversational AI agents using Go and Python. Own agent orchestration, sub-agent architecture, prompt engineering, tool integrations, guardrails, approval flows, observability, and evaluation infrastructure. Develop datasets, scorers, regression suites, and quality metrics for production readiness. Collaborate cross-functionally on conversational experiences, make architecture decisions, rapidly prototype agents, harden them for launch, and mentor engineers.
Top Skills:
Ag-UiAnthropicBraintrustGeminiGoGoogle AdkGraphQLGrpcLangchainLanggraphMcpOpenaiPHPPythonRagRestRubySemantic Kernel
Cloud • Healthtech • Social Impact • Software • Biotech
Own the technical direction, architecture, and delivery of Benchling’s enterprise agentic AI portfolio. Build production systems integrating foundation models, orchestration, tools, memory, evaluation, observability, security, and workflow automation. Establish CI/CD, testing, deployment, and governance practices; graduate prototypes into reliable systems; and provide production support. Enable internal teams through SDKs, templates, coaching, and standards while partnering with product, data, infrastructure, and security teams. Lead technical hiring and mentor engineers as a hands-on founding engineer.
Top Skills:
AirflowAnthropicArizeCi/CdConfluenceCrewaiGoLangchainLangflowLanggraphLangsmithLlm ApisMcpN8NNode.jsOpenaiPgvectorPineconePrefectPythonRagTemporalTypescriptVector Databases
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Architect stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and prompt management; establish standards for RAG and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.
Top Skills:
AWSAzureCi/CdClaudeCopilotCrewaiCursorDockerDrupalEmbedding ModelsGCPHermes AgentLangchainLangfuseLanggraphLlamaindexOpenclawPydanticPythonRagTemporalVector Databases
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
