AI Solutions Engineer, Vantage Data Centers
Global
$130-135k
+ Bonus
Customizable enterprise data center solutions
Be an early applicant
Customizable enterprise data center solutions
1001+ employees
Be an early applicant
$130-135k
+ Bonus
1001+ employees
Company mission
To design, build and operate resilient, sustainable digital infrastructure for the world’s leading technology companies with a relentless focus on customer experience.
Role
Who you are
- 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
What the job involves
- The Artificial Intelligence Team exists to amplify human potential through intelligent technology
- We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market
- Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence
- Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution
- 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, 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
Our take
AI technology is scaling, demanding more powerful and expensive facilities to store the data of the companies that are spearheading this acceleration. Because AI tech demands higher-powered cooling requirements, extra effort must go into keeping these data centers carbon neutral, which is why Vantage Data Centers designs facilities that are efficient, scalable, and sustainable.
Such a rapidly growing market means the facilities and infrastructure supporting it must be flexible and suitable for expansion. Vantage keeps this in mind, designing scalability into its centers. It now operates 32 hyperscale campuses across the globe, serving several leading technology companies. In 2017, it was acquired by Digital Bridge Holdings, and has surpassed Unicorn status with a valuation of $15 billion.
With VC awarded at the start of 2024, Vantage is extending and accelerating its capabilities across North America and the EMEA regions. As cloud computing and AI companies grow at a breakneck pace, Vantage has established itself as the obvious data-storage choice for hyperscaling companies, which sets it up for great success in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Sep 2025
$1.6bn
GROWTH EQUITY VC
Jan 2024
$6.4bn
GROWTH EQUITY VC
Total funding: $13.2bn
Company HQ
Golden Square Mile, Montreal, QC
Leadership
Sureel Choksi
(CEO)Previously on the Board of Directors at Vantage before being promoted to CEO in 2013. Alongside his work at Vantage, Choksi is on the Board for Scala Data Centers, Zayo Group and Strada Education Foundation.
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