The Role
Lead the development of data-driven solutions with Azure and Databricks, focusing on data engineering and architecture for enterprise projects.
Summary Generated by Built In
Azure AI Solutions Developer
Job Type: FTE
Location: Remote (can sit anywhere in the US)
Overview
The Azure AI Solutions Developer will lead the creation of AI-powered cloud solutions leveraging Cyclotron's proven implementation methodology for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading on technical delivery. This position requires both deep Azure platform expertise and AI-native engineering practices—treating AI as a force multiplier in daily work, not a novelty or occasional assistant.
The ideal candidate has moved beyond simple utilization of AI tools and instead leans into their use continuously. They possess deep knowledge of context engineering, retrieval-augmented generation, and agentic architectures—and crucially, they know when these approaches are not required.
Key Responsibilities
Azure Platform: App Services, Container Apps, Functions, API Management, Application Gateway, Key Vault, Entra ID, Log Analytics, Application Insights
AI Services: Azure OpenAI, Cognitive Search / AI Search, Copilot Studio, Azure AI Agent Service, Document Intelligence
Development: C#/.NET, Python, TypeScript; RESTful API design, Bicep, ARM, Terraform
DevOps: Azure DevOps or GitHub Actions, CI/CD pipelines, containerization (Docker, AKS/ACA)
Data: Azure SQL, Cosmos DB, vector databases, data modeling for AI applications
AI Workflow Integration
Job Type: FTE
Location: Remote (can sit anywhere in the US)
Overview
The Azure AI Solutions Developer will lead the creation of AI-powered cloud solutions leveraging Cyclotron's proven implementation methodology for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading on technical delivery. This position requires both deep Azure platform expertise and AI-native engineering practices—treating AI as a force multiplier in daily work, not a novelty or occasional assistant.
The ideal candidate has moved beyond simple utilization of AI tools and instead leans into their use continuously. They possess deep knowledge of context engineering, retrieval-augmented generation, and agentic architectures—and crucially, they know when these approaches are not required.
Key Responsibilities
- Design and implement AI-enabled cloud solutions on Azure, including agentic systems, Copilot Studio implementations, and Azure OpenAI integrations
- Architect scalable, secure cloud applications with appropriate use of Azure services (App Services, Container Apps, Functions, API Management, Key Vault)
- Build reusable AI workflows
- Interpret business requirements into functional and technical requirements, translating stakeholder needs into working solutions
- Lead technical delivery teams, providing guidance on architecture decisions, code quality, and AI integration patterns
- Engage directly with client stakeholders from C-suite to end users, communicating technical concepts appropriately for each audience
- Collaborate across sales, service delivery, and project management organizations in service to Cyclotron's clients
- Contribute to technical pre-sales activities, including solution design, effort estimation, and client presentations
- 5+ years software development experience with focus on cloud applications
- 3+ years architecting and implementing solutions on Microsoft Azure
- 1+ years technical team leadership or technical management experience
- Current Azure certification (Solutions Architect, Developer, or AI Engineer preferred)
- Demonstrated daily use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, etc.) as integral workflow tools
Azure Platform: App Services, Container Apps, Functions, API Management, Application Gateway, Key Vault, Entra ID, Log Analytics, Application Insights
AI Services: Azure OpenAI, Cognitive Search / AI Search, Copilot Studio, Azure AI Agent Service, Document Intelligence
Development: C#/.NET, Python, TypeScript; RESTful API design, Bicep, ARM, Terraform
DevOps: Azure DevOps or GitHub Actions, CI/CD pipelines, containerization (Docker, AKS/ACA)
Data: Azure SQL, Cosmos DB, vector databases, data modeling for AI applications
AI Workflow Integration
- History of using AI tools to multiply personal output - Can describe specific workflows where AI handles execution while maintaining architectural control
- Established verification discipline. Runs and tests AI-generated outputs, asks for reasoning not just results, understands failure modes
- Active engagement with emerging AI capabilities. Tracks what's new, evaluates applicability, adopts with judgment
- Experience with Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio)
- Familiarity with Semantic Kernel, Prompty, or similar orchestration approaches
- Experience implementing RAG architectures in production
- Microsoft Certified: Azure AI Engineer Associate or equivalent experience
What we Offer
- Opportunity to work at the cutting edge of AI with a team of Microsoft technology specialists
- Engaged leadership
- Professional growth driven by complex, forward-looking, real-world challenges
- Competitive salary, benefits, and continuing education opportunities
Top Skills
Adf
Azure
Azure Data Explorer
Azure Devops
Azure Sql
Databricks
Dax
M
Power BI
Pyspark
Python
Rag
Spark Sql
SQL
SQL Server
Ssis
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The Company
What We Do
We’re Cyclotron. We want to welcome you to the new world of an action-oriented, modern technology consultancy.
Cyclotron was proudly founded in San Francisco in 2014 with the sole intent of accelerating the success of our clients by solving mission-critical business and technology challenges, through a proven network of industry-specific frameworks. We’re a trusted strategic partner to many innovative organizations in the financial, health and life sciences, public, retail, and technology sectors. Our solutions combined with your investment with us boosts productivity, enhances collaboration, and integrates intelligence across your entire enterprise.
