[Remote] AI Solutions Engineer, Global

Note: The job is a remote job and is open to candidates in USA. Vantage Data Centers is a leader in providing innovative data center solutions, and they are seeking an AI Solutions Engineer to join their Artificial Intelligence Team. This role involves building AI-powered prototypes, leveraging Microsoft 365 technologies, and transforming business requirements into effective solutions within rapid development cycles.

Responsibilities

• 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
• 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

Skills

• 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
• 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
• Travel required is expected to be up to 5% but may increase over time as the business evolves
• Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus

Benefits

• 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
• Many other additional voluntary benefits
• An array of benefits, recognition, training and development

Company Overview