Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization.
Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform.
Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity.
Apply SDLC best practices—version control, code reviews, automated testing, and CI/CD—within a rapid prototyping environment to balance quality and speed.
Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams.
Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements.
Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability.
Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred.
Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms).
Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code.
Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform.
Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint).
Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design.
Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures.
Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity.
Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor.
Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus.
Knowledge of security, data privacy, and enterprise compliance standards.
Strong problem-solving and debugging skills, particularly in complex, integrated environments.
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments.
Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.

Benefits

medical, dental, and vision coverage
life and AD&D
short and long-term disability coverage
paid time off
employee assistance
participation in a 401k program that includes company match
many other additional voluntary benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML solutionsPythonTypeScriptJavaScriptMicrosoft AzureAzure OpenAIAzure AI ServicesGitCI/CDAPI integration

Soft Skills

problem-solvingcommunicationadaptabilityself-directedgrowth mindsetcollaborationtechnical documentationfeedback incorporationpragmatic decision-makingtime management

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringAI/ML certifications