AI Automation Staff Engineer
Job
Insight Global
Irving, TX (In Person)
Full-Time
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Job Description
Job Description As a Staff Engineer II, you'll provide expertise in a suite of technical tools and products in a given domain to ensure solutions are safe, secure, compliant and reliable. You'll identify develop and support needs, as well as taking on design responsibilities supporting project tasks. AS the Staff Engineer, II, you'll facilitate dialogue and activities to ensure team collaboration including teams outside of your domain. You'll develop effective presentations and narratives for their teams. In the Staff Engineer role, development and integration are extremely important. Being able to see and lead automation from requirement gathering all the way into delivery with minimal help is what we are looking for, withe ability to identify critical points (authentication, data validation, interaction and integration).
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- Own engineering work from design through production support.
- Build AI enabled and agent based solutions, including Generative AI (LLMs) and Agentic patterns.
- Apply best practices for reliability, performance, and observability.
- Design and build solutions using Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
- Integrate AI capabilities using Azure OpenAI / Copilot style patterns.
- Contribute to API and system integrations, including secure authentication (OAuth).
- Create clear technical designs and diagrams to explain how solutions work.
- Collaborate with product, engineering, architecture, and business teams.
- Provide technical guidance and mentoring within the project team.
To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- Bachelors Degree required.
- 7+ years of related experience within IT App Support, IT Development, or a similar field, with 5-6 of those years being hands on.
- 1-2 years of understanding of automation: automation tools, automation frameworks, what it is and how it functions.
- Intermediate Python skills for building integrations, automation, or AI workflows.
- Hands on or working knowledge of Generative AI / LLMs and agentic approaches and Azure AI Foundry or similar AI model platforms.
- Understanding of APIs, integration and security fundamentals.
- Tools and Technologies include but are not limited to: PowerAutomation, ServiceNow, PowerPlatform, UIPath, etc.
- Advanced knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
- Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously. Additional experience with pipeline development and leveraging Azure DevOps while working on multiple projects simultaneously.
- Advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross-functional teams. Expertise in resolving conflicts and addressing challenges as well as skilled at identifying and mitigating risks at the project level.
- Proficient in governance patterns tied to intake, technical reviews and architectural compliance
- Previous leadership experience preferred but HIGHLY recommended.
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