As an AI Engineer, you will lead the experimentation, prototyping and deployment of advanced AI and Generative AI solutions that support client pursuits, industry demonstrations and scalable sector offerings.
Requirements
- Strong foundation in AI, machine learning and Generative AI with proven hands-on delivery experience.
- Deep experience working with LLMs (OpenAI, Anthropic, Llama or equivalent).
- Strong experience with orchestration frameworks such as LangChain and agentic system design.
- Demonstrated experience applying MLOps and LLMOps in production or near-production environments.
- Strong data engineering capability and architectural decision-making experience.
- Experience deploying and optimising AI workloads across AWS, Azure or GCP.
- Advanced Python programming capability and strong software engineering discipline.
- Strong understanding of Responsible AI, compliance and enterprise security guardrails.
- Ability to lead technical discussions with architects, sector leaders and clients.
- Experience leading AI solutions that support commercial pursuits or reusable sector offerings.
- Experience mentoring engineers or leading technical workstreams.
- Exposure to model evaluation frameworks and structured experimentation environments.
Benefits
- Comprehensive benefits package
- Flexible work arrangements
- Career development
- Wellness incentive
- Additional 8 weeks of flex leave per year
- 26 weeks of gender-neutral paid parental leave
