USA_Engineer

Location: Baltimore, OH (Remote) • Duration: 6 Months • GBaMS ReqID: 11015009

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.