Description:
As a Senior AI Engineer, you will play a pivotal role in designing, developing, and maintaining advanced AI solutions while contributing to the broader technology strategy. Collaborating with cross-functional teams, including product management and, where appropriate, customers, you will validate critical problem-solution assumptions and create cost models. Your efforts will support the organisation's mission to integrate intelligent systems into existing and future products, driving innovation and efficiency.
Key Responsibilities:
- Serve as a core team member responsible for developing new AI solutions and enhancing existing ones.
- Identify business opportunities for AI integration in collaboration with other functions, supporting the product and technology roadmap.
- Contribute ideas and expertise to shape the AI roadmap and long-term strategy.
- Focus on building systems that learn and adapt from data, seamlessly integrating them into broader systems.
- Lead the development of intelligent features for future product iterations.
- Contribute to system design and architecture, considering scalability, reliability, and cost efficiency.
- Work closely with internal and external stakeholders to ensure solutions align with business objectives.
- Drive decisions regarding the organisation’s technology stack, shaping its current and future direction.
- Develop cost models to support decision-making and evaluate solution feasibility.
- Identify and mitigate potential risks, including governance challenges.
- Provide input and act as a design advisor for AI initiatives across the business.
- Support the development of strategies, processes, and documentation to strengthen the AI function.
Personal Profile:
- Exceptional communication skills, both written and verbal.
- Strong analytical and problem-solving capabilities.
- Effective collaboration in distributed team environments.
- Self-motivated, detail-oriented, and driven by a strong work ethic.
- Adaptable and eager to learn, share knowledge, and stay informed about emerging AI trends.
- Qualifications & Experience:
Essential:
- Recognised Azure programme credentials or certifications.
- Minimum of two years' experience running AI models in production on Azure.
- Expertise in AI deployment patterns and architectures on Azure, including self-hosted LLMs.
- In-depth knowledge of machine learning algorithms and data analytics.
- Familiarity with the design and creation of Azure AI environments (e.g. Landing Zones, end to end Azure infrastructure etc.).
- Proven experience contributing to the architecture and design of scalable, reliable systems.
Desirable:
- Advanced degree (Masters or Bachelors) in a relevant AI discipline.