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Experience | Scalability | Efficiency By Design
AI Solutions Engineer – Global
Location
United States
Posted
87 days ago
Salary
$130K - $135K / year
Seniority
Senior
Job Description
AI Solutions Engineer – Global
Vantage Data Centers
• 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.
Job 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
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