Workplace AI Engineering & Architect

Posted:
12/16/2025, 3:55:40 AM

Location(s):
North Carolina, United States ⋅ Texas, United States ⋅ Charlotte, North Carolina, United States ⋅ Fort Worth, Texas, United States ⋅ Pennsylvania, United States ⋅ Dallas, Texas, United States

Experience Level(s):
Senior

Field(s):
AI & Machine Learning

Workplace Type:
Hybrid

Overview:

This role is responsible for architecting and implementing enterprise-grade Workplace AI solutions through workplace tools, with a primary focus on Microsoft 365 Copilot and Power Platform. The position combines technical depth with enablement leadership—ensuring secure deployments, driving adoption, and aligning AI capabilities with business outcomes.

Core Responsibilities:

  • Collaborates with internal clients to understand business requirements; drafting the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business needs.

  • Supports the efforts on building the deployment plan for highly scalable and secure Artificial Intelligence platforms, applications, and systems that run in various cloud infrastructures and Artificial Intelligence devices successfully.

  • Develops architecture specification and reviews technical and configuration documentation for all users (customers, engineering teams, product teams).

  • Establishes trusted advisory stakeholder relationships; continues to build on Artificial Intelligence/Machine Learning acumen and stay current on the latest technologies and tools.

  • Applies commonly used machine learning algorithms and technologies into organizational practices, such as regression models.

  • Conducts statistical analyses on business and processes using machine learning techniques to find out opportunities for business development and process improvement.

  • Designs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems. Runs statistical models continuously to achieve best performance of machine learning algorithms.

  • Designs code reviews, algorithms and models, and conducts experiments to ensure the functionality and performance of AI products or solutions.

  • Participates in special projects and performs other duties as assigned.

Qualifications:

  • 5+ years of experience in Microsoft 365 engineering, automation, or AI enablement.

  • Hands-on experience with Copilot, Copilot Studio, Power Platform, and enterprise-scale M365 administration.

  • Strong understanding of security, compliance, and governance in cloud environments.

  • Excellent communication and stakeholder management skills.

Preferences:

  • Bachelor’s degree in Computer Science, Information Technology, or related field; advanced degree preferred.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.