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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer, Global - **Company:** Vantage Data Centers, LLC - **Location:** Denver, CO, United States (Remote available) - **Salary:** $130,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Data Centers, Extract Transform Load (ETL), Software Debugging, Decision Support Systems, Python (Programming Language), Machine Learning, Natural Language Processing, OAuth, Pair Programming, Systems Development Life Cycle, Rapid Prototyping Process, Azure Machine Learning, Salesforce.Com, Microsoft SharePoint, Software Engineering, Systems Integration, TypeScript, Web Application Frameworks, Enterprise Data Management, Chatbots, Microsoft Power Automate, Retrieval-Augmented Generation, Prompt Engineering, Technical Debt, Git, Containerization, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Production Code, Operational Systems, Software Coding, Restful APIs, Webhooks, Software Version Control, Data Pipelines, Serverless Computing - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=84b6a61587d086b4 ## About the Role Do you have experience in Version control systems?, Do you have a Bachelor's degree?, * 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. Physical Demands and Special Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds. ## Description This position is based remotely in the United States. The AI Solutions Engineer, Global is a 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. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage's data center operations. 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 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)