{"id":4162447,"url":"https://alion.io/job/tiger-analytics-azure-ai-platform-architect","title":"Azure AI Platform Architect","company":{"id":3693,"name":"Tiger Analytics","domain":"tigeranalytics.com","url":"https://alion.io/company/tigeranalytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"A","score":95,"open_postings":63,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":108,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"FinOps","optional":false},{"name":"Google AI Studio","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-12T08:54:54Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T12:37:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a highly technical and hands-on Azure AI Platform Architect to lead how our clients set up the enterprise agentic stack on Microsoft Azure. In this role, you will sit at the intersection of Azure platform depth, AI platform architecture, and client advisory, as part of our AI Platform Center of Excellence.\nClients increasingly come to us wanting their entire agentic stack built on Azure: the infrastructure substrate, the agentic services layer (LLM gateway, agent and tool/MCP registries, evals and guardrails, data connectors, runtime observability, Agent/LLM Ops, and FinOps), and the experience layer through which both business users and engineers build agents. Microsoft provides the foundational services; you will bring the architectural judgment that turns them into a platform an enterprise can consume safely, at scale, and repeatably.\nThis is a senior individual contributor role. You will work as a peer to our AI Architects, with a clear path to leading a small pool of Azure-specialist AI platform engineers as the practice grows.\nAs part of this role, you will:\nLead Client Advisory and Pre-Sales: Assess a client's current Azure estate and AI operating model, and shape a clear roadmap for standing up the agentic stack on Azure AI Foundry and Azure OpenAI Service. Be the technical authority in the room who earns the client's confidence that Tiger knows Azure.\nArchitect the Agentic Services Layer: Design how Azure AI Foundry capabilities (Azure OpenAI, Agent Service, Model Catalog, Content Safety, Prompt flow, Azure AI Search, and API Management gateways) are composed for enterprise consumption across subscriptions. You will cover multi-tenant management group topologies, Microsoft Entra ID and Workload Identities for agents, shared gateways, default guardrails, network isolation, and cost attribution/FinOps.\nGuide Delivery to the Promise: Advise delivery teams through implementation so what was designed is what gets built. Review architectures, Infrastructure-as-Code (IaC) intent, and security configurations, resolving complex platform challenges as they arise.\nBuild Golden Paths and Kits: Codify Azure setup knowledge into reference architectures, Bicep/Terraform recipes, golden paths, and reusable deployment kits that our largely platform-agnostic team can deploy repeatedly.\nSupport Internal AI Applications: Advise on Tiger's internal AI applications running on Azure, continually optimizing their architecture, security controls, operations, and cost efficiency.\nWho do we expect?\nProfessional Experience: Typically 10 to 12 years in technology, with at least 4 to 6 years of hands-on, enterprise-scale work on Microsoft Azure, including 2 to 3 years delivering on Azure OpenAI, Azure AI Studio / Azure AI Foundry, Azure Machine Learning (Azure ML), or Azure's broader ML and data ecosystem.\nAzure Platform Depth: Strong command of how enterprises run Azure: Azure Enterprise Landing Zones, Management Groups and Subscription topology, Microsoft Entra ID (Azure AD), Role-Based Access Control (RBAC), Service Principals, Managed Identities (User/System-assigned), Virtual Networks (VNets), Private Endpoints/Service Endpoints, Azure Policy, API Management (APIM), and Log Analytics / Azure Monitor.\nAI Platform Architecture: Proven experience architecting ML or GenAI platforms on Azure for shared enterprise consumption, rather than single isolated applications. Deep understanding of model serving, gateway routing, evaluation frameworks, runtime monitoring, and security governance as central platform capabilities.\nAgentic Services Exposure: Hands-on exploration of Azure AI Foundry (including Azure AI Agent Service, Agent Frameworks, Prompt flow, and MCP server integrations). You have built, deployed, and formed practical opinions on agents on Azure, even if not yet at massive production scale.\nIaC and Automation Literacy: Solid understanding of how Azure platform environments are declared through Terraform, Bicep, or ARM templates, with the ability to review code for architectural and security intent. (Infrastructure engineers will handle primary implementation).\nCertifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-305), plus Microsoft Certified: Azure AI Engineer Associate (AI-102) or Microsoft Certified: Cybersecurity Architect Expert (SC-100).\nClient Presence & Leadership: Comfortable leading technical sessions with enterprise client architects, CISO teams, and senior technology stakeholders, effectively translating platform technicalities into business trade-offs.\nConsulting Mindset: Adaptable to working on billable client engagements and balancing time across strategy/advisory, delivery governance, and internal asset creation.","description_format":"text","description_chars":4739,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-11-12T12:37:14Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":108,"reasons":["conf:1","win:early"],"computed_at":"2026-11-12T14:27:25Z"},"pay":null,"html_url":"https://alion.io/job/tiger-analytics-azure-ai-platform-architect","json_url":"https://alion.io/job/tiger-analytics-azure-ai-platform-architect.json","meta":{"generated_at":"2026-11-12T14:27:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30042,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3693},"rest":"https://alion.io/mcp/rest/get_company?id=3693"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftiger-analytics-azure-ai-platform-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftiger-analytics-azure-ai-platform-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftiger-analytics-azure-ai-platform-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tiger-analytics-azure-ai-platform-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftiger-analytics-azure-ai-platform-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4162447}},{"tool":"search_jobs","arguments":{"company":"tigeranalytics.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4162447},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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