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
Vantage Data Centers designs and develops data center campuses to large cloud providers, AI enterprises, and other tech-driven businesses. It was founded in 2010, and is headquartered in Denver, Colorado, USA, with a workforce of 1001-5000 employees. Its website is https://vantage-dc.com.