The Job

Consulting Services - Technology Consulting

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science

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In short

As a Technology Consultant with Microsoft ISD, you will embed with customers to understand their needs and design/implement GenAI and agentic solutions on Microsoft platforms like Azure, Dynamics 365, and M365 Copilots. You will own end-to-end delivery, from prototyping to production, ensuring reliability, safety, and measurable customer impact.

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.

Requirements

  • Bachelor’s degree in computer science, Engineering, or related field AND demonstrated experience delivering production software solutions (or equivalent experience).
  • 8+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer environments.
  • Proven experience delivering hands‑on, production-grade solutions across the full delivery lifecycle, including requirement ambiguity, development, deployment, and post‑go‑live stabilization.
  • Proven delivery of Dynamics 365 CE/Power Platform solutions, M365 Copilot Solutions, plus experience building AI-infused workflows (recommendations, summarization, case routing, contact center assist, sales/service copilots) with production-grade engineering practices.
  • Experience building or extending solutions involving Copilots, AI‑assisted workflows, or intelligent automation is a strong plus.
  • Certifications and/or experience in Azure Solutions, Dynamics 365, M365 Copilot and Power Platform; exposure to Azure AI services and GenAI solution patterns is a strong plus.
  • Agile delivery, DevOps, CI/CD, and operational readiness (observability, incident response) strongly preferred—especially for AI systems.
  • Desirable experience includes Azure solution development, Contact Center solutions, Copilot Studio, and building GenAI/agentic experiences (tool-use orchestration, retrieval grounding, evaluation/quality loops, safety/guardrails).
  • Excellent communication: explain AI behaviors, risks, and tradeoffs to technical and non-technical stakeholders; drive alignment from ambiguity to execution.
  • Trusted customer-facing engineering presence: collaborate deeply, pair-build with customer teams, and transfer knowledge to ensure long-term maintainability.
  • Proactively identify and mitigate risks, including AI-specific failure modes (grounding gaps, unsafe outputs, data leakage) and enterprise constraints (security, privacy, compliance).
  • IC role: influence without authority through strong engineering judgment, structured problem-solving, and crisp stakeholder communication.
  • Comfort working across time zones and blended onsite/offshore models; thrives in fast-moving, customer-embedded delivery.

Desired Qualifications

  • Delivers working GenAI/agentic solutions from prototype to production with measurable customer impact.
  • Implements guardrails and evaluation to ensure reliability, groundedness, safety, and cost/performance targets.
  • Leaves behind reusable assets, documentation, and enabled customer teams (no dependency).

Benefits

  • Embody our culture and values
#Microsoft Cloud#AI#agentic scenarios#GenAI solutions#Dynamics 365#M365 Copilots#Power Platform#Azure#Microsoft 365 Migration#SharePoint Online#Dynamics 365 Customer Engagement#Salesforce#Contact Center as a Service#Copilot Extensibility#Copilot Studio#Microsoft Agent Framework#Work IQ#Azure Fabric#Azure AI Foundry#One Lake#Lakehouse architecture#model catalog#Azure AI Search#Agile#DevOps#CI/CD
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Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

United States

Qualification

Bachelor, Undergraduate

Applicants

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