Senior Solution Architect (Azure Integration & AI Platforms) at ZYMR

Ahmedabad, gujarat, India -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Solution Architecture, AI Governance, Event-Driven Architecture, APIM, Azure Service Bus, AKS, LLM Governance, DevSecOps, FinOps, Supply Chain Domain Expertise, RAG, Azure Entra ID, KQL, Logic Apps, Function Apps, Vector Databases

Industry

IT Services and IT Consulting

Description

Job Title: Senior Solution Architect (Azure Integration & AI Platforms) Experience: 12+ Years Location: Ahmedabad/Pune Educational Qualification: B.Tech, B.E, M.E., M. Tech in Computer Science, or other engineering/technical equivalent degree. We are looking for a Senior Solution Architect with deep hands-on expertise across enterprise Azure platforms and a strong background in supply chain, logistics, and ecommerce domains. You will serve as the bridge between business stakeholders and engineering teams — translating complex business requirements into detailed, actionable architectures and implementation plans at user story level. You will be central to shaping the evolution of our cloud platform — driving event-driven integration patterns, enforcing security and compliance posture, optimising for performance and cost, and embedding AI-assisted development practices across the team. You will also design controlled, governed environments for AI experimentation, lead secure platform uplift and modernisation, evaluate AI agents through compliant pathways, and baseline and uplift the enterprise integration landscape — all under strong AI governance, security and privacy guardrails. Responsibilities Lead end-to-end solution design — ADRs, KDDs, sequence/data-flow diagrams, ICDs — and facilitate architectural workshops to align stakeholders on scope, approach, and trade-offs. Elicit and refine requirements with business stakeholders; decompose designs into user-story-level specs with acceptance criteria, technical constraints, and dependency mappings. Design controlled, isolated cloud environments for AI experimentation — network isolation, RBAC, audit logging, cost governance, and gated promotion-to-production workflows. Lead secure platform uplift and modernisation — assess current-state architecture, identify risk hotspots, design isolated dev environments, and produce a prioritised remediation roadmap. Define LLM-assisted development guardrails and architect compliant AI agent evaluation pathways with human-in-the-loop controls and measurable production-readiness criteria (accuracy, hallucination, repeatability). Architect and govern event-driven integrations on Service Bus, Event Grid, and Event Hub (pub/sub, saga, CQRS, outbox); oversee APIM configurations including OAuth2/Entra ID, rate limiting, versioning, and multi-region topology. Architect Function Apps, Logic Apps, and container-based workloads (AKS, Container Apps); lead AI-specific risk assessments covering prompt injection, data leakage, excessive agency, and auditability. Embed DevSecOps in Azure DevOps CI/CD pipelines; define observability strategies (Application Insights, KQL dashboards, SLIs/SLOs, DLQ handling); own cloud cost posture via FinOps principles; champion AI tooling (GitHub Copilot, Claude, Cursor, Azure AI Foundry). Requirements 5+ years of hands-on Azure solution architecture — APIM, Service Bus, Function Apps, Event Grid/Hub, and Logic Apps, and containerization using AKS / ACA — in an enterprise context. Experience designing isolated cloud environments with network isolation, tenant segregation, RBAC/MFA, audit logging, and Production data separation. Hands-on AI/LLM governance — prompt injection, data leakage, hallucination, insecure output handling, and human-in-the-loop oversight. Azure Monitor proficiency — Application Insights, KQL, workbooks, production alert design; containerisation experience with Docker, AKS, and/or Azure Container Apps. Working knowledge of Azure Entra ID (OAuth2, OIDC, Managed Identities, Conditional Access) and Azure networking (VNets, Private Endpoints, App Gateway, Front Door). Proven event-driven architecture at scale (pub/sub, saga, CQRS, outbox); ability to produce artefacts from capability diagrams to user-story breakdowns; ecommerce/ERP integration experience (order management, catalogue, fulfilment). RAG/AI agent solution design including vector databases and staged evaluation criteria; active use of multiple AI dev tools (GitHub Copilot, Claude, Cursor, Azure AI Foundry); strong written and verbal communication for technical and business audiences. Supply chain and logistics domain expertise — EDI, integration patterns, master data flows, and distribution/wholesale operational constraints. Nice to Have WMS integration (inbound/outbound flows, inventory sync, exception handling) and Shopify integration (storefront APIs, Webhooks, ERP/WMS connectivity). Sage ERP integration and decoupling strategies; Microsoft Dynamics 365 F&O in a supply chain or logistics context. Azure AI Foundry model deployment — Data Zone vs. Regional Standard deployment types and data residency considerations. MCP (Model Context Protocol) or AI agent orchestration frameworks (LangGraph, Pydantic AI, AutoGen, OpenAI Agents SDK); n8n or similar workflow automation platforms. OpenTelemetry and distributed tracing; IDP or golden-path template library ownership. Certifications: AZ-305 (Azure Solutions Architect Expert), AZ-204, AZ-900, or equivalent.

Responsibilities

Lead the end-to-end design of Azure integration and AI platforms, translating business requirements into technical architectures. Establish AI governance guardrails and modernize cloud platforms to support secure, event-driven enterprise integrations.