Technical Architect

Experience level -15+ years for Architect role.

Primary skills: C#/.Net core with strong experience in Azure AI services and implementation. Worked on POCs/Proposals related to AI solutioning .

Secondary Skills: Python

AI & Solution Engineerin

• gDesign and implement AI-driven systems using
• :Azure OpenAI, Azure AI Search, Azure M
• LAzure AI Foundry (agent orchestration, lifecycle
• )Microsoft Copilot Studio (enterprise copilots & workflows
• )Build Retrieval-Augmented Generation (RAG) pipelines
• :Chunking strategies (semantic, recursive, hybrid
• )Embedding and vector search optimizatio
• nDevelop multi-agent and conversational AI system

s
Application Development (.NET Focu

• s)Build and maintain scalable .NET Core microservic
• esDevelop REST APIs integrating AI services into enterprise platfor
• msEnsure high performance, security, and resilience in distributed syste

ms
Data & AI Pipeline Engineer

• ingDesign intelligent data pipelin
• es:Data ingestion, transformation, embedding generat
• ionWork wi
• th:Vector databases (Azure AI Search, Cosmos
• DB)SQL/NoSQL data sto
• resEnsure data quality, retrieval accuracy, and performa

nce
AI Operations & Optimiza

• tionDeploy and monitor AI systems in produc
• tionOptim
• ize:Token u
• sageLatency and throug
• hputCost effici
• encyImplement observability (logging, telemetry, feedback lo
• ops)Manage model lifecycle (evaluation, retraining, tun

ing)What You'll B

ring
Core Engineering Skills (Manda

• tory)Strong expertise in .NET / C# (microservices architec
• ture)Experience building and consuming REST
• APIsStrong understanding of cloud-native architecture (A

zure)
AI & Azure Expertise (Mand

• atory)Hands-on experience
• with:Azure OpenAI (prompt engineering, optimiz
• ation)Azure AI Search (vector + hybrid s
• earch)Azure ML (model lifecycle b
• asics)Practical implementati
• on of:RAG pip
• elinesEmbedding stra
• tegiesRetrieval optimi

zation
Copilot & Age

• ntic AIExperience with Copilot
• Studio:Conversational
• agentsWorkflow aut
• omationExposure to Azure AI F
• oundry:Agent orches
• trationMulti-agent architecture (preferred for lead/arc

hitect)
Data & Database Skills (Critical Differe

• ntiator)Experien
• ce with:Vector DB (Azure AI Search / Co
• smos DB)Relational DB (SQL
• Server)NoSQL (Cosmos DB /
• MongoDB)Understan
• ding of:Data pipelin
• es / ETLAI data preparation and

indexing
Programming & AI

• EcosystemStrong knowledge of Python (AI/ML s
• cripting)Experience with Microsoft agent framework (preferred) /
• LangChainFamiliarity with AI SDKs

and APIs
DevOps &; Quality (Goo

• d to have)Experience with Azure DevOp
• s (CI/CD) Underst
• anding of:Testing
• AI systemsEvaluation
• frameworksMonitoring &