Senior Consultant, Microsoft Full Stack & AI Engineering

Job Description

Job Description

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, 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 including .NET, C#, ASP.NET Core, Web API, Entity Framework, SQL Server or Azure SQL, JavaScript, TypeScript, 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 ID, Azure DevOps, and related services. 
• Configure and manage Azure DevOps to support GitHub 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 GitHub 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 OpenTelemetry. 
• 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, DevOps 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 with .NET, C#, ASP.NET Core, Web API, Entity Framework, SQL, HTML, CSS, JavaScript or TypeScript, and Angular or React. 
• Experience designing and delivering cloud-based solutions using Microsoft Azure services and secure identity patterns, including Microsoft Entra ID or equivalent identity platforms. 
• Practical experience integrating AI capabilities into applications using Azure AI services, Azure OpenAI Service, LLM APIs, GitHub 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, vector search, responsible AI practices, data privacy, security, and validation of AI-generated outputs. 
• Experience implementing AI evaluation, prompt optimization, model governance, and AI application security best practices. 
• Experience with relational database design, SQL query development, performance optimization, transaction handling, and data integrity controls. 
• Experience with CI/CD, source control, work tracking, release coordination, and engineering practices using Azure DevOps, GitHub, Jira, or similar tools. 
• Identify opportunities to improve processes, drive innovation, and adopt emerging technologies that deliver client business value. 
• Strong analytical, troubleshooting, documentation, collaboration, and ownership skills. 

Preferred Qualifications:

• Microsoft certifications such as Azure Developer Associate, Azure AI Engineer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert or related credentials. 
• Experience with Azure AI Foundry, AI Agent Service, Prompt Flow, Semantic Kernel, Azure AI Search, Microsoft Fabric, Copilot Studio, Microsoft 365 Copilot extensibility, and enterprise AI governance.  
• Experience with Model Context Protocol (MCP), GitHub Copilot Enterprise, Azure API Management, Azure Monitor, and Application Insights. 
• Prior consulting experience, including client discovery, solution estimation, delivery planning, technical presentations, and stakeholder management. 
• Experience working with secure coding, accessibility, privacy-aware development, release governance, and compliance-conscious engineering practices. 
• Benefits 
• Competitive compensation and performance-based opportunities, subject to company policy and role eligibility. 
• Flexible work practices, professional development resources, certification support, and training aligned to business needs. 
• Collaborative team environment with exposure to Microsoft-focused technology projects and U.S.-based client work. 
• Benefits may include medical, dental, vision, life insurance, paid time off, retirement benefits, and other benefits subject to role location, plan terms, and applicable policy. 

Equal Employment Opportunity :

Join Artic and you will benefit from outstanding professional support and investment in your development.  You will have the opportunity to learn from and be coached by the best in the business – supportive leaders and colleagues who can pass on their industry, technical, and functional expertise.  

This also includes medical, dental, vision, and life insurance benefits, 401k, vacation, training expenses, and training budget.  

Added pay band: 

$125,000 - $150,000 USD annual base salary, plus performance-based incentives and benefits where applicable. 

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