Consultant
Microsoft · Posted Oct 8
Software, cloud computing, artificial intelligence, and hardware services
India, Telangana, HyderabadFull-timeOnsiteSenior Level8+ years₹35.0L–₹60.0L yearly100+ applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
Full time
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About the role
Microsoft Industry Solutions Delivery (ISD) is a global organization of over 6,000 strategic sellers, industry and security experts, engineers, data scientists, architects, consultants, and delivery specialists who help Microsoft's most strategic customers with industry-specific digital and AI transformation solutions. The team works on Microsoft Cloud and AI, including Dynamics 365, M365 Copilots, Power Platform, and Azure. This Consultant role embeds with customer stakeholders to design, prototype, and deliver agentic and GenAI solutions from discovery through production deployment and live stabilization.
What you will do
- 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.
- Embody our culture and values
- 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).
Skills used in this role
AzureDynamics 365M365 CopilotPower PlatformCopilot StudioSharePointSharePoint OnlineSalesforceMicrosoft GraphAzure AI FoundryAzure AI SearchMicrosoft FabricOneLakeMicrosoft Agent FrameworkRAGGenAICI/CDDevOpsAPIsContact Center as a ServiceAgile
What the employer is looking for
- 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.
Preferred qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
SN
Satya Nadella
Chairman and Chief Executive Officer
AH
Amy Hood
Chief Financial Officer
BS
Brad Smith
Vice Chair and President
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