Job Description
Fusion Education Group is a mission‑driven, growing organization that values innovation, collaboration, and continuous improvement
Our technology teams play a critical role in enabling business outcomes through scalable, secure, and modern systems
We foster a culture where developers influence architecture decisions and deliver high‑impact solutions.
We are seeking an Innovation Engineer to bridge the gap between emerging technology and real enterprise value. This role is for an engineer who can experiment with purpose, rapidly prototype ideas, pressure-test them against security, scalability, and cost constraints, then turn the best ideas into repeatable, production-grade enterprise solutions
The Innovation Engineer designs, prototypes, and operationalizes AI-enabled and enterprise-scale solutions that improve efficiency, unlock new capabilities, and accelerate how the organization delivers value.
This role sits at the intersection of:
- AI and automation
- Enterprise systems and platforms
- Business process modernization
You will work closely with engineering, data, and business leaders to:
- Identify high-value opportunities
- Build proof-of-value solutions
- Transition successful innovations into scalable, supported systems
This role is ideal for someone who is hands-on, highly curious, and comfortable moving from whiteboard to production.
What You’ll Do:
Innovation & Rapid Delivery
- Identify opportunities where emerging technology (AI, automation, cloud services) can materially improve business outcomes
- Rapidly prototype solutions to validate feasibility, value, and risk
- Lead proof-of-concept (PoC) and pilot initiatives with a clear path to production
- Translate ambiguous ideas into working software and systems
AI & Intelligent Systems
- Design, lead and implement production-grade enterprise AI solutions, including:
- LLM-powered applications
- Retrieval-Augmented Generation (RAG) systems
- ML/AI services embedded in distributed systems
- Intelligent workflow automation
- Select appropriate AI approaches (classical ML, deep learning, LLMs, heuristics) based on cost, performance, and risk
- Integrate AI models into existing applications via APIs, event streams, or microservices
Enterprise Solutions Engineering
- Architect solutions that integrate with existing enterprise platforms and systems
- Ensure innovations meet enterprise standards for: