AI Solutions Engineer – Global

Role Overview

• 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.

Tech Stack

• Azure
• Cloud
• JavaScript
• Python
• SDLC
• TypeScript

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