Product Engineer – Data & AI
The Product Engineer – Data & AI plays a pioneering role in transforming our data and analytics projects into scalable, productized solutions built on Microsoft Fabric. This role involves full‑stack development using the Fabric Extensibility Kit, integrating data, AI, and app components into reusable accelerators and SaaS‑ready offerings. As one of the first hires in this space, the Product Engineer will help shape our solution IP and product development framework—bridging data engineering, AI integration, and modern software development practices.
Key Responsibilities
- Build end‑to‑end, full‑stack applications and accelerators leveraging the Microsoft Fabric Extensibility Kit and Azure Data & AI services.
- Convert successful project implementations into reusable, standardized, and deployable solutions ready for commercialization or SaaS delivery.
- Design and implement front‑end interfaces , back‑end logic , and data pipelines that work seamlessly within the Fabric environment.
- Collaborate with consultants, architects, and AI specialists to embed data models, analytics, and GenAI capabilities into productized solutions.
- Maintain and evolve an internal IP library of reusable components, solution templates, and reference architectures.
- Write clean, maintainable, and well‑documented code aligned with software engineering best practices.
- Experiment with emerging Microsoft and open‑source tools to extend solution capabilities and improve performance.
Skills & Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.1–3 years of experience in software or full‑stack development (internship experience acceptable).Proficiency in Python , TypeScript / JavaScript , SQL , and modern web frameworks (React preferred).Strong understanding of data engineering and analytics concepts —ETL, data modeling, APIs, and visualization.Familiarity with Microsoft Fabric , Azure Data Services (Data Factory, Synapse, Cosmos DB, AI Services) or similar platforms.Good problem‑solving and architectural thinking skills; able to bridge business requirements with technical design.Curiosity, initiative, and a pioneering mindset—eager to help define how Data & AI solutions become scalable products.Why This Role Matters
This is a foundational and pioneering position —shaping how the firm transforms its consulting IP into ready‑to‑deploy Data & AI products. The Product Engineer will be at the intersection of engineering, AI innovation, and product strategy, helping establish the foundation of our emerging AI App and Solution Productization practice .
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
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