Title: Architect, IT Solutions – Copilot & Agentic AI Platforms
Location: Pune, India(Hybrid)
CTH/ Full time
Own the enterprise platform architecture for Microsoft Copilot (M365 Copilot, Copilot Studio) and Moveworks — serving as the definitive technical authority on capabilities, extensibility, and best practices.
- Define the ecosystem blueprint, platform standards, extensibility patterns, and long-term technical roadmap for both platforms.
- Evaluate and recommend new platform features, plugins, connectors, and agentic AI capabilities as they emerge from Microsoft and Moveworks.
- Design and govern the integration layer connecting Copilot and Moveworks to enterprise systems such as ServiceNow, Workday, JDE, Active Directory, HRIS, LMS, and CMDB.
- Define API strategies, event-driven patterns, connector frameworks, and messaging standards that enable secure, reliable, and scalable data flows across platforms.
- Partner with the Azure architecture team to ensure integration patterns align with cloud infrastructure, identity (Entra ID), and security standards.
- Provide end-to-end solution design and technical authority for all AI agent, copilot, and automation solutions built on these platforms.
- Lead architecture reviews, approve design decisions, and ensure solutions are production-ready, secure, and aligned with enterprise standards.
- Translate complex business requirements into scalable, repeatable architectural patterns and executable design strategies.
- Develop, institute, and maintain platform-specific design methodologies, development standards, security patterns, and operational best practices.
- Provide training, coaching, and technical mentorship to Forward-Deployed Engineers (FDEs), solution developers, and IT team members on Copilot and Moveworks architecture.
- Survey emerging developments in agentic AI — including multi-agent orchestration, RAG patterns, and tool-using agents — and recommend approaches that extend platform value.
- Develop and maintain architecture models, reference designs, integration maps, and documentation for current and proposed implementations.
What You'll Need (Required)
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- 10+ years of progressive IT experience, including significant depth in platform architecture, integration architecture, or solution architecture.
- 3+ years in an architect role working with cross-functional teams (within IT and/or business) on enterprise-level or complex system implementations.
- Deep expertise in at least one of the following: Microsoft Copilot ecosystem (M365 Copilot, Copilot Studio, Graph API, Graph Connectors, Copilot extensibility) or Moveworks platform (conversational AI, enterprise integrations, workflow automation).
- Strong integration architecture skills: REST/GraphQL APIs, event-driven architectures, enterprise connectors, middleware, and messaging patterns (e.g., Azure Service Bus, Logic Apps, Power Automate).
- Proven ability to design end-to-end solution architectures for enterprise AI, automation, or digital workplace platforms.
- Experience defining platform standards, governance frameworks, and reusable architectural patterns at enterprise scale.
- Strong understanding of identity, security, and compliance requirements in enterprise AI deployments (e.g., Entra ID, conditional access, DLP, data classification).
- Expert-level documentation and communication skills — ability to create architecture blueprints, integration maps, and present complex technical concepts to senior leadership and non-technical stakeholders.
- Strong interpersonal and leadership skills, including cross-functional negotiation, vendor management, and the ability to drive alignment across distributed teams.
What Else We Look For (Preferred)
- Hands-on experience with Microsoft Copilot Studio — building custom copilots, plugins, connectors, topics, and generative AI orchestration.
- Hands-on experience with Moveworks platform — configuring enterprise virtual agents, workflow automation, knowledge integration, and analytics.
- Experience with agentic AI patterns including multi-agent orchestration, Retrieval-Augmented Generation (RAG), tool-using agents, and planner-executor models.
- Experience integrating AI platforms with enterprise systems such as ServiceNow, Workday, SAP, Active Directory, LMS, and CMDB.
- Familiarity with Microsoft Power Platform (Power Automate, Power Apps) as an automation and extensibility layer.
- Experience deploying AI solutions in regulated industries (e.g., medical device, pharmaceuticals, financial services) with attention to governance and responsible AI practices.
- Advanced degree in Computer Science, Information Systems, or a related discipline.
- Professional certifications such as Azure Solutions Architect Expert, Microsoft 365 Administrator Expert, TOGAF, or equivalent architecture frameworks.
- Track record of mentoring engineers and building technical communities of practice.