Senior AI Engineer - TX, NC

Indotronix International Corporation • Irving, TX

1d • Hybrid

About The Position

Join Wells Fargo’s enterprise AI engineering team to drive agentic AI solutions within the Microsoft 365 ecosystem. The Senior AI Engineer will design, develop, and deploy advanced AI agents and orchestration frameworks using Microsoft Copilot Studio, helping shape enterprise-wide AI capabilities and automate complex business processes. This is a hybrid role based in Charlotte, North Carolina, or Dallas, Texas, with three days onsite.

Requirements

• Advanced hands-on experience building AI agents within Microsoft Copilot Studio.
• Deep knowledge of the Microsoft 365 ecosystem, including Teams, SharePoint, Outlook, and OneDrive.
• Proven track record deploying enterprise-grade AI solutions and agentic workflows.
• Ability to develop orchestration patterns, workflow automation, and reusable frameworks.
• Experience integrating Microsoft Graph for enterprise data grounding.
• Strong understanding of AI engineering best practices, including testing, CI/CD, and monitoring.
• Authorized to work in the U.S. without sponsorship.
• Available to work hybrid, three days onsite in Charlotte, NC, or Dallas, TX.

Nice To Haves

• Experience with Azure AI Foundry.
• Skills in advanced workflow optimization, latency management, and cost efficiency.
• Familiarity with Windows, macOS, iOS, and Android integration.
• Demonstrated leadership in technical design and architecture reviews.

Responsibilities

• Architect and deliver end-to-end agentic AI solutions using Microsoft Copilot Studio and Microsoft 365 Copilot.
• Design, build, and optimize multi-agent orchestration frameworks, including workflow execution, task decomposition, and coordination.
• Develop declarative and custom agents for enterprise-scale business automation.
• Create and maintain reusable frameworks and standards for scalable agent development.
• Integrate AI solutions across Teams, SharePoint, Outlook, OneDrive, and the Microsoft 365 suite.
• Build orchestration layers for planning, validation, execution, and recovery.
• Implement performance monitoring, execution tracing, and observability for agent workflows.
• Uphold responsible AI practices, including security, privacy, policy enforcement, and explainability.
• Collaborate with Product, Architecture, and Engineering teams to align solutions with enterprise standards and strategic initiatives.
• Lead architecture reviews and technical design discussions for Copilot and agent-based solutions.

Benefits

• High-impact projects deploying cutting-edge AI solutions for enterprise transformation.
• Fast-track interview process with a 30-minute video interview.
• Collaborative, technology-driven work environment.
• Opportunities for career growth and skill development within a leading financial institution.
• Hybrid work flexibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed