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Senior Consultant

Microsoft· Technology Consulting
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Hyderabadfull-timePosted 1mo ago

About the role

Senior Consultant in Technology Consulting focusing on embedding GenAI/agentic solutions on Microsoft platforms, delivering end-to-end GenAI-based engagements for enterprise customers, and driving AI-enabled transformation initiatives.

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.

Qualifications

  • Bachelor’s degree in computer science, Engineering, or related field AND demonstrated experience delivering production software solutions (or equivalent experience).
  • 9+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer environments.

Skills

Required:GenAI/Agentic solution designEnd-to-end delivery
Nice to have:AI risk management

Benefits

  • Not specified in the description.
Last updated Oct 2, 2026. Interested? Apply on the company site.

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