AI Solutions Engineer, Global

Vantage Data Centers

Denver, CO

JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Authentication, Automation, Best Practices, Cloud Architecture, Code Reviews, Communication Skills, Computer Science, Construction, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Quality, Database Extract Transform and Load (ETL), Debugging Skills, Decision Support, Documentation, Ecosystems, Emerging Technology, Enterprise Architecture, Environmental Management, Git, JavaScript, JavaScript Frameworks, Kernel Programming, Knowledge Transfer, Machine Learning, Microsoft Product Family, Microsoft SharePoint, Microsoft Windows Azure, Natural Language Processing (NLP), Network Operations Center, OAuth, Privacy Controls, Problem Solving Skills, Product Demonstration, Production Systems, Prototyping, Python Programming/Scripting Language, REST (Representational State Transfer), Rapid Prototyping, Regulatory Compliance, Requirements Validation/Verification, Salesforce.com, Scripting (Scripting Languages), Software Development Lifecycle (SDLC), Software Engineering, Source Code/Configuration Management (SCM), Technical Writing, Test Automation, Test Plan/Schedule, Testing, User Documentation, Validation Testing, Willing to Travel
LOCATION
Denver, CO
POSTED
Today

Position Overview AI Solutions Engineer, Global – remote, United States. 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.Essential Job Functions 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 Microsoft365 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.Duties 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 Microsoft365.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 (Microsoft365, 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.Job Requirements 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 to5% but may increase over time as the business evolves.Travel Requirements Up to5% travel; potential increase over time.Physical Demands Occasionally required to stand, walk, sit, and manipulate objects.Occasional lifting and/or moving up to 25pounds.Flexibility to reach with hands and arms, climb stairs, balance, stoop or kneel, talk, and hear.Compensation and Benefits Salary range: $130,000–$135,000 base + bonus (Colorado market data, may vary in other locations).Benefits include medical, dental, and vision coverage; life and AD&D; short and long‑term disability; paid time off; employee assistance; 401(k) with company match; and additional voluntary benefits.Vantage Data Centers is an Equal Opportunity Employer.#J-18808-Ljbffr

About the Company

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Vantage Data Centers