AI Solution Architect

Maarut • Bellevue, WA

1d

About The Position

We are seeking a seasoned AI Architect with 15 years of overall technology experience including 5 years in handson architecture leadership. The ideal candidate will drive AI solutions from ideation to implementation, lead performance finetuning, actively participate in RFPs and presales, and architect robust solutions leveraging Azure AI services, Azure OpenAI Service, Azure AI Search, Azure ML, and Cognitive Services. Deep expertise in RAG architectures, LLMs, and a broad sound knowledge of Microsoft technologies including .NET, Azure, M365, Power Platform, and DevOps is essential.

Requirements

• 15 years in software/solution engineering with 5 years as Architect Lead/Principal level
• Proven track record driving AI solutions from ideation to implementation in enterprise environments
• Expertise in RAG architectures and LLM application design (prompting, orchestration, tool-use, grounding)
• Hands-on with Azure AI services: Azure OpenAI Service (assistants/LLM APIs, prompt engineering, cost/perf controls), Azure AI Search (vector search, hybrid retrieval, custom scoring/re-ranking), Azure ML (training, deployment, model registry, pipelines), Cognitive Services (Language, Speech, Vision)
• Strong performance engineering skills (load testing, profiling, token optimization, caching, auto-scaling, GPU/CPU sizing, and telemetry)
• RFP/Pre-Sales experience (solutioning, proposal authoring, estimations, and customer workshops)
• Microsoft technologies: .NET/C#, ASP.NET Core, Azure PaaS, GitHub/Azure DevOps, Power Platform/M365, SQL Server/Cosmos DB, API Management, Event Hub/Service Bus
• Solid grounding in security/compliance (identity, Entra ID, VNET/PE, Key Vault, encryption, data governance, Responsible AI practices)
• Excellent communication, stakeholder management, and documentation skills

Nice To Haves

• Azure Cloud Architecture
• CI/CD Architecture

Responsibilities

• Own end-to-end AI solution architecture discovery, use-case selection, PoC, pilot, production hardening and scale-out
• Define reference architectures for RAG (retriever, vector index, chunking, embeddings, ranking, orchestration), LLM apps, agents, and multi-model pipelines on Azure
• Provide technical direction across engineering teams (applications, data, ML platform, security) ensuring solution integrity and adherence to Microsoft best practices
• Lead design reviews, threat modeling, and governance (AIOps/MLOps) for reliability, performance, security, and cost
• Architect solutions with Azure OpenAI Service (Azure AI Search, vector hybrid), Azure AI Foundry, Cognitive Services (Language, Speech, Vision), Prompt Flow/Semantic Kernel
• Integrate with Azure Functions, App Service/AKS, Event Hub/Service Bus, Cosmos DB/SQL DB, Key Vault, Private Endpoints/VNET, and API Management
• Translate business outcomes into solution blueprints, backlogs, epics, non-functional requirements (NFRs), and operational runbooks
• Drive Responsible AI guardrails, content filters, safety policies, data privacy, and compliance
• Act as the technical owner and primary architectural contact for customers, product managers, and delivery leadership
• Mentor engineers/architects, build reusable patterns, libraries, and accelerators
• Lead and contribute to RFPs/RFIs, solution approach, architecture diagrams, delivery plan, cost/effort estimation, BoQ/BoM, assumptions, risks, and win themes
• Run customer ideation workshops, discovery sessions, and executive briefings; craft compelling value narratives and differentiators

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed