AI Engineer with Microsoft Foundry

Dear Supplier Partner,

Looking For AI Engineer with Microsoft Foundry

Location:- Remote

AI Engineer with Microsoft Foundry

o Establish a structured intake process for capturing AI and automation opportunities from business stakeholders.
o Conduct discovery sessions, stakeholder interviews, and workshops to understand current-state processes and pain points.
o Document business objectives, process flows, decision points, inputs, outputs, exceptions, and operational requirements.
o Assess submitted use cases for business value, technical feasibility, complexity, implementation effort, and delivery risk.
o Evaluate whether opportunities are best suited for AI, workflow automation, RPA, process improvement, or existing platform capabilities.
o Identify required systems, applications, data sources, integrations, and access dependencies for each use case.
o Review data availability, data quality, privacy, security, and governance considerations before solution design begins.
o Define success criteria, measurable KPIs, expected business outcomes, and value realization measures.
o Estimate potential benefits such as productivity gains, cost reduction, capacity creation, process efficiency, and user experience improvement.
o Develop preliminary ROI, benefit assumptions, and prioritization inputs to support leadership and governance decisions.
o Support prioritization of opportunities based on value, feasibility, risk, urgency, and strategic alignment.
o Facilitate alignment between business stakeholders, IT teams, solution architects, developers, and delivery teams.
o Support smooth handoff of approved use cases from discovery to solution design, development, and implementation planning.
o Maintain traceability from initial intake through governance review, delivery handoff, and value tracking.
o Prepare discovery artifacts, business requirements, intake documentation, and use case summaries for review and approval

Roles & Responsibilities
• Establish a structured intake process for capturing AI and automation opportunities from business stakeholders.
• Conduct discovery sessions, stakeholder interviews, and workshops to understand current-state processes and pain points.
• Document business objectives, process flows, decision points, inputs, outputs, exceptions, and operational requirements.
• Assess submitted use cases for business value, technical feasibility, complexity, implementation effort, and delivery risk.
• Evaluate whether opportunities are best suited for AI, workflow 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 considerations before solution design begins.
• Define success criteria, measurable KPIs, expected business outcomes, and value realization measures.
• Estimate potential benefits such as productivity gains, cost reduction, capacity creation, process efficiency, and user experience improvement.
• Develop preliminary ROI, benefit assumptions, and prioritization inputs to support leadership and governance decisions.
• Prepare discovery artifacts, business requirements, intake documentation, and use case summaries for review and approval.
• Support prioritization of opportunities based on value, feasibility, risk, urgency, and strategic alignment.
• Facilitate alignment between business stakeholders, IT teams, solution architects, developers, and delivery teams.
• Support smooth handoff of approved use cases from discovery to solution design, development, and implementation planning.
• Maintain traceability from initial intake through governance review, delivery handoff, and value tracking.