AI Engineer
Indexed description
We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and is committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners, and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodation during the recruitment process, please let us know.
Why This Role Matters
Ignite, Innovate, Impact.
As an AI Engineer in the AI Spark team - a focused, high‑impact product innovation team responsible for accelerating the adoption of AI‑driven capabilities across Hansen products, you will play a pivotal role in defining the next generation of Hansen’s AI‑powered product experiences. Your work won’t stay on paper — it will go directly into the hands of users around the world.
This Is a Role For Builders
- People who love shaping raw ideas into product-ready AI features
- Engineers who thrive in experimental, high‑energy environments
- Innovators who want to influence the future of AI in global industries
What You’ll Do
AI Solution Design & Architecture
- Develop advanced AI prototypes using multi‑cloud platforms and large language models.
- Build secure, scalable architectures that integrate into enterprise product environments.
- Conduct technical reviews to ensure strong engineering, security, and compliance standards.
- Collaborate with engineers and data scientists to implement and optimise AI agents and workflows.
- Translate customer and product requirements into clear designs and engineering plans.
- Evaluate emerging AI tools to keep solutions innovative and future‑ready.
- Conduct workshops and co‑innovation sessions to gather feedback and validate solutions.
- Promote AI‑driven innovation by showcasing practical use cases and emerging capabilities.
- Create training materials and demos to support user adoption.
- Identify high‑value AI opportunities with product and stakeholders.
- Serve as a subject matter expert on AI best practices, architecture, and implementation.
- Measure the impact of AI features and use insights to drive continuous improvement.
- Skilled in working with cloud platforms such as AWS, Azure, and GCP, including multi-cloud integration.
- Possesses in-depth knowledge of large language models, machine learning frameworks, and AI system architecture.
- Experienced in programming languages like Python, Java, and C#.
- Demonstrates strong analytical thinking and adeptness at solving problems related to complex system designs.
- Has a background in DevOps and deploying scalable artificial intelligence solutions.
- Excels in communication and teamwork across different functional groups.
- Well-versed in enterprise-level security, compliance measures, and data governance practices.
- 1+ years of experience in AI engineering (in-house or consulting).
- Strategic mindset with ability to turn vision into actionable steps.
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