[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.ResponsibilitiesDesign and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productizationBuild intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power PlatformPartner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexityApply SDLC best practices—version control, code reviews, automated testing, and CI/CD—within a rapid prototyping environment to balance quality and speedProduce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teamsDemonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvementsMake pragmatic engineering decisions that balance speed, technical debt, and long-term scalabilityDevelop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standardsDevelop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automationIntegrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutionsBuild custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performanceImplement 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 environmentsParticipate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growthEmbed security, privacy, and governance controls from the outset, meeting enterprise compliance standardsCreate automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrationsTroubleshoot and resolve complex technical and integration issues while documenting learningsPackage prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrationsSupport handoff to Development teams through architecture walkthroughs, documentation, and knowledge transferStay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping effortsHandle additional duties as assigned by ManagementSkillsBachelor's degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferredStrong 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 codeDeep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power PlatformExperience 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 designExperience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architecturesStrong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivityProven ability to deliver high-quality software under tight timelines while balancing speed and technical rigorKnowledge of security, data privacy, and enterprise compliance standardsStrong problem-solving and debugging skills, particularly in complex, integrated environmentsExcellent communication skills, with the ability to explain technical concepts to non-technical stakeholdersSelf-directed, adaptable, and comfortable working in fast-paced, minimally supervised environmentsDemonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharingTravel required is expected to be up to 5% but may increase over time as the business evolvesFamiliarity with data center operations, construction workflows, or infrastructure delivery is a plusBenefitsCompany benefits including but not limited to medical, dental, and vision coverageLife and AD&DShort and long-term disability coveragePaid time offEmployee assistanceParticipation in a 401k program that includes company matchMany other additional voluntary benefitsAn array of benefits, recognition, training and developmentCompany OverviewVantage 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.