Senior Consultant, Microsoft Full Stack & AI Engineering- Redmond

Senior Consultant, Microsoft Full Stack & AI Engineering

Artic Consulting is seeking a Senior Consultant, Microsoft Full Stack & AI Engineering to design, build, and support secure, scalable, AI-first, cloud-native enterprise applications using the Microsoft technology ecosystem. This role combines senior full stack engineering, Azure application development, AI agent development, AI-enabled feature delivery, and client-facing consulting responsibilities.

The successful candidate will work with cross-functional teams and U.S.

-based stakeholders to translate business requirements into reliable application solutions, integrate AI capabilities where appropriate, and maintain high standards for code quality, security, data privacy, maintainability, and responsible AI implementation.

Key Responsibilities:

• Design, develop, test, and maintain full stack application features using Microsoft technologies , C#, ASP.NET Core, Web API, Entity Framework, SQL Server or Azure SQL, JavaScript, Type Script, Angular or React.
• Build secure, scalable, maintainable cloud-based application solutions using Microsoft Azure services such as Azure Functions, App Services, Blob Storage, Azure Data Factory, Logic Apps, Microsoft Entra , Azure Dev Ops, and related services.
• Configure and manage Azure Dev Ops to support Git Hub automated releases, including workflows, team ceremonies, and queries.
• Integrate AI-enabled capabilities into enterprise applications, including intelligent search, document and content analysis, recommendations, workflow automation, chat or assistant experiences, and AI-assisted user experiences where appropriate.
• Apply practical AI engineering patterns such as prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, model-output evaluation, guardrails, and human-in-the-loop review for production-oriented features.
• Design and develop AI agents and copilots using Azure AI Foundry, Azure OpenAI, Semantic Kernel, Microsoft Copilot Studio, or equivalent frameworks.
• Implement enterprise AI solutions using Azure AI Search, vector search, prompt engineering, and Model Context Protocol (MCP) integrations with enterprise systems and APIs.
• Collaborate with stakeholders to identify practical AI use cases, clarify requirements, assess technical feasibility, and deliver secure, scalable solutions aligned to business outcomes.
• Use AI-assisted engineering tools, including Git Hub Copilot or similar tools, responsibly to improve development productivity while maintaining code review, security, privacy, and quality standards.
• Design and optimize relational database structures and SQL queries, including performance tuning, indexing, data integrity controls, and support for application releases.
• Deploy and manage cloud-native applications using Docker, Azure Container Apps, Kubernetes (AKS), and Infrastructure as Code (Bicep or Terraform).
• Monitor application and AI solution performance using Azure Monitor, Application Insights, and Open Telemetry.
• Participate in Agile delivery activities including sprint planning, estimation, backlog refinement, demos, release planning, and retrospectives.
• Troubleshoot application, integration, database, and cloud issues; identify root causes; implement practical fixes; and document resolution steps.
• Create and maintain technical documentation including architecture notes, design decisions, API specifications, implementation notes, release documentation, and operational runbooks.
• Work effectively with business analysts, UI/UX designers, QA engineers, Dev Ops resources, project managers, client stakeholders, and other developers to deliver high-quality solutions.
• Mentor junior developers by providing technical guidance, code review feedback, design-pattern coaching, and support for engineering best practices.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Experienced professional full stack application development experience in enterprise, product, or client-facing software environments.
• Strong hands-on experience , C#, ASP.NET Core, Web API, Entity Framework, SQL,…