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Avanade

Consultant, AI Full-Stack Developer

Avanade

. Partner directly with clients to understand objectives and solve complex business and technology challenges .

Posted 11/10/2026full-timeUnited StatesMid-LevelSenior💰 $103,550 - $140,050 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable, secure solutions using Azure services, AI technologies, and modern software engineering practices. Strong ability to translate client objectives into actionable technology solutions while ensuring alignment with organizational goals.

Highest-signal resume keywords
Azure Cloud ConsultingAI-Enabled Solutions DevelopmentSoftware Engineering MethodologiesClient EngagementSystems Thinking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C#JavaPythonTypeScriptAI-Assisted DevelopmentInfrastructure-as-CodeRetrieval-Augmented GenerationPrompt EngineeringMulti-Agent OrchestrationModel Context Protocol
Soft Skills
Strong Communication SkillsClient EngagementProblem-Solving
Tools & Technologies
Azure ServicesGitHubGitHub ActionsAzure DevOpsMicrosoft FoundryAzure OpenAI ServiceCopilot StudioMicrosoft FabricAutomation ToolingData Technologies
Industry Keywords
Software EngineeringCloud ComputingAI SolutionsIntegration PatternsOperationalization

Tech Stack

Tools & technologies
AzureCloudJavaPythonTerraformTypeScript

About the role

Key responsibilities & impact
  • Partner directly with clients to understand objectives and solve complex business and technology challenges
  • Apply software engineering, AI, Azure, Microsoft and GitHub ecosystem, automation, data, and modern operating practices to create technical solutions
  • Design, implement, operationalize, and scale solutions from prototype to production
  • Translate client objectives into practical technology solutions delivering measurable business outcomes
  • Design, develop, and deploy solutions using software engineering, Azure services, Azure OpenAI, Microsoft Foundry, Copilot and agent frameworks, GitHub, automation tooling, platform engineering, data technologies, and integration patterns
  • Develop reusable assets and implementation patterns across teams and engagements
  • Support solution adoption through knowledge sharing and collaborative delivery
  • Partner with client stakeholders, engineers, architects, operators, and business leaders
  • Ensure solutions align with organizational goals and operational realities

Requirements

What you’ll need
  • Strong systems thinking, engineering judgment, and ownership
  • Experience designing secure, scalable, and maintainable solutions, with sound judgment on architecture tradeoffs
  • Hands-on proficiency in a modern programming language such as C#, Java, Python, or TypeScript
  • Experience applying software engineering methodologies to develop AI-enabled solutions, including intelligent or agentic applications integrating with enterprise data and systems
  • Experience with retrieval-augmented generation, prompt and context engineering, tool/function calling, and multi-agent orchestration
  • Experience with Model Context Protocol (MCP) and agent-to-agent interoperability patterns
  • Experience evaluating, monitoring, and governing AI solutions in production
  • Ability to rapidly understand business processes, technical environments, and organizational challenges
  • Experience applying modern engineering practices, including AI-assisted development with GitHub Copilot
  • Strong client engagement and communication skills
  • Ability to explain complex topics to technical and non-technical stakeholders
  • Ability to evaluate technologies and delivery approaches based on business value
  • 3–6 years of experience as an Azure Cloud Consultant
  • Experience building and deploying production systems on Azure, including APIs, GitHub Actions or Azure DevOps pipelines, and infrastructure-as-code (Bicep or Terraform)
  • Experience with Azure OpenAI Service, Microsoft Foundry, Microsoft Agent Framework, or Copilot Studio
  • Experience with Microsoft Fabric or Azure data services as grounding sources for AI solutions

Benefits

Comp & perks
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Life coverage
  • Long-term disability coverage
  • 401(k) plan
  • Bonus opportunities
  • Paid holidays
  • Paid time off