AI Enablement Engineer — Scalable, Secure AI Workflows
Q-Free
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Job summary
Q-Free, a global ITS technology leader, is seeking an AI Enablement Engineer to shape how AI is used across our engineering teams. You will blend hands-on AI with software development to identify use cases, prototype AI-enabled workflows, and help turn experiments into scalable, production-ready solutions.
Location: Trondheim region. You will collaborate with engineers and AI champions worldwide to establish patterns, governance and secure practices for AI-enabled workflows.
Qualifications
- Strong foundation in software engineering.
- Experience with generative AI, LLMs, AI-assisted development, agents or AI-augmented workflows.
- Strong programming skills.
- Good understanding of modern software development practices.
- Strong communication skills in English.
Responsibilities
- Explore, evaluate and apply new AI technologies, models and tools relevant to Q-Free
- Work hands-on with engineering teams to prototype, develop and integrate practical AI-based solutions
- Help teams move AI initiatives from idea and experimentation into stable, secure and production-near workflows
- Support the development of shared patterns, best practices and reusable AI-supported workflows
- Contribute to responsible and secure use of AI, including quality, governance, traceability, privacy and security considerations
- Collaborate with engineers, AI champions and stakeholders across teams and locations
Skills
Job description
Q-Free, a global ITS technology leader, is seeking an AI Enablement Engineer to shape how AI is used across our engineering teams. You will blend hands-on AI with software development to identify use cases, prototype AI-enabled workflows, and help turn experiments into scalable, production-ready solutions.
Location: Trondheim region. You will collaborate with engineers and AI champions worldwide to establish patterns, governance and secure practices for AI-enabled workflows.
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