Senior Consultant, Microsoft Full Stack & AI Engineering

About Artic Consulting

Artic Consulting is a Microsoft-focused consulting partner helping clients modernize applications, data platforms, cloud operations, and business workflows through Microsoft cloud, AI, automation, and enterprise application engineering solutions.

Position Summary

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,AIagent 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, andmaintainhigh standards for code quality, security, data privacy, maintainability, and responsible AI implementation.

Key Responsibilities :

• Design, develop, test, andmaintainfull stack application features using Microsoft technologies including .NET, 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 Opsto 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 toidentifypractical 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 whilemaintainingcode review, security, privacy, and quality standards.
• Design andoptimizerelational 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, andOpenTelemetry.
• 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 andmaintaintechnical 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 byprovidingtechnical 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 with .NET, C#, ASP.NET Core, Web API, Entity Framework, SQL, HTML, CSS,JavaScript or Type Script, and Angular or React.
• Experience designing and delivering cloud-based solutions using Microsoft Azure services and secure identity patterns, including Microsoft Entra  equivalent identity platforms.
• Practical experience integrating AI capabilities into applications using Azure AI services, Azure OpenAI Service, LLM APIs, Git Hub Copilot, or equivalent AI-assisted engineering tools.
• Hands-on experience with Azure AI Foundry, Azure AI Search, Semantic Kernel, AI agent development, and enterprise AI integrations.
• Working knowledge of prompt engineering, RAG, embeddings,…