Note: The job is a remote job and is open to candidates in USA. Vantage Data Centers powers and connects technology for hyperscalers and cloud providers, and they are seeking an AI Solutions Engineer to transform business requirements into AI prototypes. The role involves developing intelligent solutions using the Microsoft 365 ecosystem and delivering production-quality code within rapid prototyping constraints.
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
- 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
- Travel required is expected to be up to 5% but may increase over time as the business evolves
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
- Above market total compensation package
- A comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations
- An array of benefits, recognition, training and development
Company Overview