USA_Engineer

Job Description: AI Engineer – Microsoft Foundry

• Location: Baltimore, OH (Remote)

• Duration: 6 Months

• GBaMS ReqID: 11015009

• Job Title: AI Engineer – Microsoft Foundry

Roles and Responsibilities

• Establish a structured intake process to capture AI and automation opportunities from business stakeholders.

• Conduct discovery sessions, stakeholder interviews, and workshops to understand current-state processes, business needs, and pain points.

• Document business objectives, process flows, decision points, inputs, outputs, exceptions, and operational requirements.

• Assess submitted use cases based on business value, technical feasibility, complexity, implementation effort, and delivery risks.

• Evaluate whether business opportunities are best suited for AI, workflow automation, Robotic Process Automation (RPA), process improvement, or existing platform capabilities.

• Identify required systems, applications, data sources, integrations, and access dependencies for each use case.

• Review data availability, data quality, privacy, security, and governance requirements before solution design begins.

• Define success criteria, measurable Key Performance Indicators (KPIs), expected business outcomes, and value realization metrics.

• Estimate potential benefits, including productivity gains, cost reduction, capacity creation, process efficiency, and improved user experience.

• Develop preliminary Return on Investment (ROI) estimates, benefit assumptions, and prioritization inputs to support leadership and governance decisions.

• Support prioritization of AI and automation opportunities based on business value, feasibility, risk, urgency, and strategic alignment.

• Facilitate collaboration between business stakeholders, IT teams, solution architects, developers, and delivery teams.

• Support the handoff of approved use cases from discovery to solution design, development, and implementation planning.

• Maintain traceability throughout the use case lifecycle, from initial intake and governance review to delivery handoff and value tracking.

• Prepare discovery artifacts, business requirements, intake documentation, and use case summaries for review and approval.

Key Skills and Competencies

• Microsoft Foundry and AI engineering.

• AI and automation opportunity assessment.

• Business process analysis and discovery.

• Stakeholder management and requirements gathering.

• AI use case evaluation and prioritization.

• Workflow automation and RPA.

• Technical feasibility and implementation risk assessment.

• Data quality, privacy, security, and governance.

• KPI definition and ROI analysis.

• Business requirements documentation.

• Cross-functional collaboration and delivery coordination.

• AI solution design and implementation planning.