Principal Consultant, AI Business Solutions Job at Microsoft Corporation (Hyderabad)

Principal Consultant, AI Business Solutions

Microsoft Corporation

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Microsoft Industry Solutions Delivery (ISD) is a global organization of industry and security experts, engineers, data scientists, architects, consultants, and delivery specialists. We partner with strategic customers to deliver industry-specific solutions and measurable outcomes powered by Microsoft Cloud and AI. The AI Business Solutions team within ISD helps customers maximize value from Dynamics 365, M365 , Copilots and the Microsoft Cloud by co-engineering GenAI and agentic solutions that accelerate adoption, automate workflows, and unlock new business capabilities. We work in rapid, iterative delivery cycles to move from ambiguous problem → working prototype → production-ready solution. Our organization drives customer value across digital and AI transformation through repeatable and customized solutions. We build with a growth mindset and an inclusive culture, and we deliver responsible AI solutions designed for security, compliance, and operational readiness. This role goes beyond traditional consulting. FDEs operate at the intersection of engineering, architecture, and customer delivery, working in fast‑paced, iterative cycles to translate ambiguous requirements into working software, integrate with real customer environments, and own outcomes through deployment and stabilization.

Job Responsibility:

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 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

Requirements:

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

Nice to have:

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

Additional Information:

Job Posted:
February 14, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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