Technology Consulting IC3

Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. ISD is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions through strategic engagements with customers across the globe powered by Microsoft Cloud and AI.

Responsibilities Embed with customer stakeholders to understand business workflows, constraints, and success metrics; translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI/agentic scenarios. Design and  implement  agentic and GenAI solutions on Microsoft platforms (e.g., Dynamics 365, M365 Copilots, Power Platform, Azure) including integrations, APIs, and automations that accelerate adoption and deliver measurable outcomes. Prototype rapidly, then harden to production: build POCs for agentic workflows (multi-step tasks, tool-use, orchestration), validate with users, and evolve to production-ready implementations with testing, monitoring, and secure deployment patterns. Own end-to-end delivery from architecture through implementation: define build/test specifications, create eval and quality gates for GenAI outputs, and produce operational guides/runbooks for reliability, safety, and maintainability. Identify and mitigate business/technical risks specific to AI systems (data access, prompt injection, hallucinations, privacy, compliance, latency, cost); propose safeguards and fallback behaviors for agentic flows. Support deployment and live stabilization: troubleshoot integrations and model behavior in real environments, iterate quickly, and ensure successful go-live with clear ownership, monitoring, and incident playbooks. Balance platform configuration with extensibility to maximize speed and maintainability. Co-engineer with customer teams to ensure knowledge transfer, documentation, and reusable patterns. Drive delivery plans across the full lifecycle—discovery, build, eval, deployment, and operations—accounting for dependencies across data, security, and enterprise systems. Build agentic workflows that invoke tools/APIs safely (function calling patterns), with guardrails, validation, and auditability. Implement evaluation strategies (offline/online) to measure output quality, groundedness, safety, and business impact. Capture repeatable assets (templates, reference architectures, accelerators) and share feedback loops with internal teams. Microsoft 365 Migration & Security — SharePoint Server → SharePoint Online (SP–SPO), Google → Microsoft (GPC–MS). Experienced migration talent especially welcome. Dynamics 365 Customer Engagement — Salesforce takeouts (SF Takeout), Contact Center as a Service (CCaaS), and standard CE (Sales / Customer Service / Field Service). Copilot Extensibility (M365 & D365) — Copilot and Copilot Studio agents, multi-agent (A2A) orchestration, Microsoft Agent Framework and governance, deep expertise in Work IQ (data, memory, inference) and APIs, enterprise data grounding via Graph/D365/connectors. Azure Fabric & Azure AI Foundry — One Lake-based unified data management, Lakehouse architecture for analytics and AI, model catalog usage for model discovery and fine-tuning, enterprise agent development and multi-agent orchestration via Foundry Agent Service, data grounding and RAG using One Lake and Azure AI Search.  Other   Embody our  culture  and  values   Qualifications Qualifications Required Qualifications (RQs)   Bachelor’s degree in computer science, Engineering, or