AI Engineer - Local to Phoenix, AZ (Backfill)

Insight Global
Phoenix, United States of America
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Phoenix, United States of America

Tech stack

JavaScript
Microsoft Windows
Artificial Intelligence
Azure
Continuous Integration
Information Leak Prevention
Data Security
Cursor (Graphical User Interface Elements)
DevOps
Enterprise Content Management
Python
SAP ERP
Salesforce
TypeScript
Enterprise Software Applications
Microsoft Power Automate
Large Language Models
Multi-Agent Systems
Generative AI
Api Design
Software Coding
GPT
Automation Anywhere
Serverless Computing

Job description

Insight Global is hiring for a JR/Mid-level AI Engineer to design, ship, and scale production-grade AI agents and Retrieval-Augmented Generation (RAG) solutions on Microsoft's stack-primarily Copilot Studio and Azure AI Foundry-integrated across Microsoft 365 and core enterprise systems. You'll partner with product and domain teams to turn high-value use cases into dependable, governed AI workflows that improve speed, quality, and safety.

  • Build agentic solutions with Microsoft Copilot Studio and Azure AI Foundry, including custom plugins/actions for LOB systems.

  • Design & maintain RAG architectures for enterprise content; optimize quality with offline and online evaluations.

  • Integrate across the ecosystem using Power Platform, Azure Functions/Logic Apps, and secure connectors.

  • Operationalize models and agents with CI/CD, telemetry, and feedback loops.

  • Harden for enterprise: authentication, data loss prevention, content filters, and Responsible AI controls.

  • Standardize & scale: publish reusable templates, connectors, governance policies, and coding standards.

Partner & deliver: run discovery with business stakeholders and move from POC to production.

Requirements

  • 2-5 years in software/AI engineering delivering production systems.

  • Hands-on experience with Azure Services- M365 Copilot Studio, Chat GPT, Cursor, and Azure AI Foundry.

  • Practical RAG experience (vector stores, embeddings, retrieval quality, evaluations).

  • Proficiency with Python and/or TypeScript/JavaScript; API design and integration.

  • Azure services and DevOps experience.

  • Strong grasp of identity, data security, and governance in enterprise environments. · Power Platform, Microsoft Graph, and M365 extensibility.

  • Experience building agent frameworks.

  • Observability for LLM systems.

  • Knowledge of SAP, Salesforce, or manufacturing/aviation workflows.

  • Exposure to Responsible AI frameworks and model safety testing.

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