AI Solutions Manager

Join an innovative team at the forefront of AI, ML, and Generative AI. We are seeking an experienced, manager-level AI Architect who can lead a team while remaining hands-on in the design and delivery of enterprise AI solutions across the Microsoft ecosystem. This role requires a technically savvy leader who can translate business requirements into secure, scalable, production-ready solutions and guide teams from concept through deployment and continuous improvement.

QualificationsREQUIRED

• 8+ years of progressive experience in software engineering, solution architecture, enterprise application delivery, or AI solution delivery, including experience leading teams.

• Proven experience leading teams while also delivering hands-on technical solutions in complex enterprise environments.

• Demonstrated ability to design and deliver AI solutions from business requirements, applying best practices for scalability, maintainability, integration, and security.

• At least 2 years of hands-on experience developing and operating AI solutions using Copilot Studio, Power Platform, and Azure AI services (including AI Foundry).

• Solid understanding of software development lifecycle (SDLC) practices, including testing, deployment, monitoring, and support.

• Strong understanding of secure-by-design principles for AI solutions, including access controls, governance alignment, and risk considerations.

• Demonstrated ability to architect AI solutions from business requirements and guide teams through implementation using sound technical and design practices.

• 5+ years of experience leading architecture reviews, establishing technical standards, and ensuring implementation quality across solutions.

• Demonstrated ability to balance team leadership responsibilities with hands-on technical contribution while leading multiple concurrent workstreams in complex environments.

• Strong communication, planning, and stakeholder engagement skills with the ability to collaborate effectively across business and technical teams. DESIRED

• Bachelor’s degree in Computer Science , Information Technology, Engineering, or a related field.

• Knowledge of AI security and responsible AI practices, including governance, access controls, and security testing approaches such as red teaming.

• Experience monitoring and operating AI solutions in production, including telemetry, reliability, performance optimization, and issue resolution at scale.

• Experience conducting agent regression testing and developing automated test suites for AI agent behavior and tool/function execution.

• Experience with cloud-native deployment patterns, including CI/CD, integration patterns, and scalable service design.

• Experience driving continuous improvement of AI solutions using operational insights and feedback from production environments.

Working Conditions

This position is considered OFFICE WORK which is characterized as follows.

• Almost exclusively indoors during the day and occasionally at night.
• Occasional exposure to airborne dust in the workplace.
• Work surface is stable (flat).

Physical Activity/Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This position is considered LIGHT work.

• OCCASIONALFREQUENTCONSTANT

  • Lift up to 20 pounds
  • Climbing, stooping, kneeling, squatting, and reaching
  • Lift up to 10 pounds
  • Standing
  • Repetitive movements of arms and hands
  • Sit with back supported

Functions

ESSENTIAL

• Lead and develop a team responsible for the design, development, deployment, and support of AI agents and related solutions.
• Serve as the hands-on architecture and delivery lead for AI solutions, translating business requirements into scalable, supportable, and secure technical designs.
• Design and architect agentic AI solutions using Copilot Studio, Power Platform, and Azure AI capabilities, applying design best practices, integration patterns, and enterprise standards.
• Provide hands-on technical leadership across the full development lifecycle, including discovery, design, build, testing, deployment, and monitoring.
• Develop AI agents and automation solutions, while establishing engineering standards, design reviews, and implementation guidance.
• Establish secure-by-design approaches for AI agents, including threat modeling, access controls, governance alignment, and security testing such as red teaming during pre-deployment and post-deployment monitoring.
• Partner with business, security, and platform stakeholders to deliver reliable, governed solutions that meet business needs.

Supervisory Responsibilities

Manage, mentor, and develop a team of AI engineers and solution builders.

Reporting Relationship

• Reports to the BI Analysis & Systems Sr. Manager