1. MAIN PURPOSE The AI Architect – Microsoft Foundry will be responsible for designing, governing, and enabling enterprise-grade AI solutions using Microsoft Foundry / Azure AI Foundry as a strategic AI platform within Orbia’s global Data, Analytics & AI landscape. The role exists to ensure that AI agents, copilots, RAG applications, model deployments, enterprise knowledge assistants, and AI-enabled business workflows are designed using secure, scalable, compliant, cost-aware, and reusable architecture patterns. The architect will work closely with business groups, platform owners, security, infrastructure, integration, data engineering, governance, and external partners to translate AI use cases into production-ready solution architectures. 2. KEY RESPONSIBILITIES The AI Architect – Microsoft Foundry will be responsible for: Strategy & Planning: - Define and govern Microsoft Foundry / Azure AI Foundry architecture principles, design standards, and reusable reference patterns for enterprise AI solutions. - Design and Implement Foundry-led and hybrid Foundry + Databricks solution patterns for copilots, agents, RAG applications, business assistants, and AI-enabled workflows. - Translate approved business AI use cases into solution architecture documents, platform-fit decisions, integration patterns, and production-readiness plans. - Define model selection guidance covering accuracy, latency, cost, privacy, security, data sensitivity, and business purpose. - Establish architecture guardrails for prompt engineering, RAG grounding, tool calling, human-in-the-loop approvals, write-back controls, and auditability. - Support Orbia AI governance, ARB submissions, decision records, architecture exceptions, and platform standards for Microsoft Foundry solutions. - Partner with Data, Analytics & AI leadership to align Foundry architecture with Orbia’s AI enablement roadmap and scalable operating model. Acquisition & Deployment: - Evaluate Microsoft Foundry capabilities, model catalog options, agent frameworks, Azure AI Search, Azure OpenAI, Azure Machine Learning, and adjacent Azure AI services for enterprise fit. - Collaborate with cloud, infrastructure, network, security, integration, and data platform teams to design DEV / QA / PROD-ready deployment patterns. - Define secure integration between Foundry agents and enterprise systems including SharePoint, SAP, ServiceNow, Databricks, APIs, Power BI, and internal business applications. - Design API-led and event-enabled integration patterns using Azure API Management, Entra ID, OAuth, managed identity,



service principals, and approved enterprise gateways. - Lead technical design reviews for Foundry agents, tools, knowledge bases, grounding data, model endpoints, evaluation workflows, monitoring, and release gates. - Support partner and vendor technical reviews to validate delivery approach, platform compatibility, security posture, and architecture compliance. Operational Management: - Define operational runbooks for Foundry agent lifecycle management, prompt/version control, model deployment tracking, evaluations, monitoring, telemetry, and incident support. - Ensure Foundry solutions follow least-privilege RBAC, access reviews, environment segregation, audit logging, data protection, and responsible AI controls. - Provide guidance to AI engineers, data engineers, platform admins, business analysts, and implementation partners on approved design and implementation patterns. - Monitor and optimize solution design for token consumption, Azure AI Search cost, model endpoint usage, latency, quality, security, and scalability. - Review delivered solutions against architecture principles, Orbia governance expectations, and production acceptance criteria before go-live. - Continuously improve Foundry architecture standards based on lessons learned, platform roadmap changes, business adoption, and operational feedback. - Provide application management support for issue and request related to MS foundry services. EDUCATION, EXPERIENCE, LANGUAGE, & PHYSICAL REQUIREMENTS: - Academic Level: Bachelor’s or academic degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, Cloud Computing, or related field. - Language(s) and level of proficiency: English written and verbal communication at professional working proficiency level. - Knowledge/Experience:10–12 years of overall IT experience in enterprise architecture, cloud architecture, data architecture, AI/ML engineering, application integration, or digital platforms. - Minimum 4 years’ experience in architecture design across Azure, data platforms, APIs, cloud-native applications, analytics, or AI solutions.



- Minimum 2 years’ experience in GenAI, LLM, RAG, agentic AI, AI application architecture, model integration, or enterprise AI platform enablement. - Hands-on experience or strong architecture knowledge of Microsoft Foundry / Azure AI Foundry, Foundry agents, model deployments, tools, project setup, model catalog, evaluations, monitoring, and prompt orchestration. - Experience with Azure AI services such as Azure OpenAI, Azure AI Search, Azure Machine Learning, Azure API Management, Azure Monitor, Key Vault, Entra ID, and related Azure services. - Experience with enterprise data platforms such as Databricks, Delta Lake, Unity Catalog, SQL Warehouses, MLflow, vector search, model serving, or governed data products is strongly preferred. - Experience designing RAG solutions using SharePoint, enterprise documents, semantic indexes, embeddings, vector search, citations, chunking, grounding evidence, and answer evaluation. - Experience designing secure enterprise integrations using REST APIs, OAuth 2.0, managed identities, service principals, APIM, event-driven patterns, SAP BTP, ServiceNow APIs, or Microsoft Graph APIs. - Good understanding of security and governance controls including RBAC, least privilege, segregation of duties, access reviews, private endpoints, audit logging, DLP, Purview, data classification, and SOX / ITGC expectations. - Experience in AI governance, responsible AI, model evaluation, prompt engineering, hallucination control, content safety, human approval gates, and production release criteria. - Experience preparing architecture review documents, solution design documents, technical standards, operating procedures, decision records, and ARB-ready materials. - Valuable understanding of cost management for AI solutions including token usage, model cost, search cost, storage, compute, monitoring, model endpoints, and FinOps guardrails. - Experience in working in an international environment at a global company with cross-functional teams and business stakeholders. - Excellent communication skills in English, both verbally as well as in writing. - Capabilities to build trustworthy relationships with business users, platform teams, security, architecture, vendors, and implementation partners. - Self-starter with the ability to provide technical leadership, mobilize business partners, analyze requirements, challenge solution assumptions, push back when required, and remain result-oriented. - Willingness to travel, if required, as per project and business needs.

📌 AI Architect – Microsoft Foundry (Pune)
🏢 Orbia Pune
📍 Pune