AI Solutions Engineer, Global

Position Overview

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.

• 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, Type Script/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…