SAS

Sr Azure Architect

Job Locations IN-Pune
Requisition ID
20069380
Job Category
Information Technology
Travel Requirements
None

Job Description

We are seeking a Senior Solutions Architect to lead the design and delivery of agentic AI solutions within our enterprise “Agent Factory.” This role will work directly with agile workstreams composed of professional developers building AI-powered agents using the Microsoft ecosystem.

You will serve as both a strategic architect and hands-on technical leader—guiding architecture decisions, accelerating delivery, and removing technical blockers across multiple concurrent workstreams. You will play a critical role in enabling the rapid, scalable, and secure delivery of high-quality AI agents for internal use.

Key Responsibilities

Architecture & Solution Design

  • Define end-to-end architecture for agentic AI solutions using the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot Studio, and the Microsoft Power Platform

  • Establish scalable patterns for multi-agent systems, orchestration, tool use, and data integration

  • Ensure alignment with enterprise architecture, security, and compliance standards

Workstream Enablement

  • Partner with 2–3 agile workstreams (each consisting of agent developers) to guide solution delivery

  • Provide architectural direction during sprint cycles, design sessions, and implementation

  • Actively unblock teams by troubleshooting complex technical challenges across services and integrations

Hands-On Prototyping

  • Build reference implementations and prototypes to demonstrate patterns and accelerate delivery

  • Evaluate and integrate emerging Microsoft AI capabilities into reusable solution patterns

  • Support developers in stitching together services across APIs, data platforms, and orchestration layers

Standards, Governance & Best Practices

  • Define and enforce best practices for agent design, prompt engineering, orchestration, observability, and lifecycle management

  • Ensure solutions meet enterprise requirements for security, data privacy, and Responsible AI

  • Contribute to reusable frameworks, templates, and internal accelerators

Mentorship & Technical Leadership

  • Mentor and guide developers within the Agent Factory

  • Elevate technical capability across teams through coaching, code/design reviews, and knowledge sharing

  • Foster a culture of rapid experimentation with disciplined engineering practices

Technology Strategy & Innovation

  • Stay current with advancements in AI/LLMs, agent frameworks, and Microsoft technologies

  • Assess new tools and capabilities for enterprise adoption

  • Continuously improve delivery speed, quality, and scalability of the Agent Factory

 

Required Qualifications

  • 8+ years of experience in solution architecture, software engineering, or related roles

  • Proven experience designing and delivering solutions on Microsoft Azure

  • Hands-on experience with AI/LLM-based solutions, including Azure OpenAI Service or similar platforms

  • Strong understanding of distributed systems, API design, and cloud-native architectures

  • Experience working in agile delivery models across multiple concurrent teams

  • Ability to troubleshoot and resolve complex cross-system integration challenges

 

Preferred Qualifications

  • Experience with Azure AI Foundry, Microsoft Copilot Studio, and/or Microsoft Power Platform

  • Familiarity with agentic AI patterns (multi-agent orchestration, tool use, memory, planning)

  • Experience implementing governance, security, and Responsible AI frameworks in enterprise environments

  • Background in building internal platforms or “factory” delivery models

  • Experience mentoring engineers or leading technical teams

 

Key Competencies

  • Architectural thinking with the ability to translate strategy into execution

  • Strong problem-solving skills and ability to unblock teams quickly

  • Balance of speed and rigor in high-pressure delivery environments

  • Excellent communication skills across technical and non-technical stakeholders

  • Continuous learning mindset in a rapidly evolving AI landscape

 

Success Metrics

  • Rapid delivery of high-quality, production-ready AI agents

  • Reduced time-to-market through reusable architecture patterns and accelerators

  • Effective removal of technical blockers across workstreams

  • Adoption of standardized, secure, and scalable architectures

  • Positive feedback and increased velocity from development teams

 

Why This Role Matters

This role is central to scaling our Agent Factory. You will directly influence how quickly and effectively AI solutions are delivered across the organization—balancing speed, quality, and governance in a high-visibility, high-impact environment.

 

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