[Hiring] AI Solutions Engineer @Vantage Data Centers

Role Description

This position is based remotely in the United States. The AI Solutions Engineer, Global is a hands-on technical builder within Vantage’s Accelerators team, responsible for transforming validated business requirements into working AI prototypes that demonstrate tangible value within aggressive 6-week development cycles. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage’s data center operations.

Qualifications

• 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.

Requirements

• Develop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automation.
• Integrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutions.
• Build custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365.
• Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performance.
• Implement APIs, webhooks, and integrations connecting AI solutions with enterprise platforms (Microsoft 365, SharePoint, Power Platform, Salesforce, and operational systems).
• Rapidly evaluate and experiment with emerging AI technologies, focusing on solutions suitable for production environments.
• Participate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growth.
• Embed security, privacy, and governance controls from the outset, meeting enterprise compliance standards.
• Create automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrations.
• Troubleshoot and resolve complex technical and integration issues while documenting learnings.
• Package prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrations.
• Support handoff to Development teams through architecture walkthroughs, documentation, and knowledge transfer.
• Stay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping efforts.
• Handle additional duties as assigned by Management.

Benefits

• Salary Range: $130,000-135,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations).
• This position is eligible for company benefits including but not limited to 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, and many other additional voluntary benefits.
• Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.