Senior GenAI Engineer

The Enterprise Generative AI team is seeking a highly skilled and visionary technical leader to lead the development, deployment and scaling of cutting-edge Generative AI applications that reimagine how internal IT systems and business operations function. The role builds foundational AI infrastructure and products that directly affect how departments operate, from IT automation and support to business intelligence and productivity enhancement. As a technical thought leader, the postholder drives the use of large language models and foundational models, designing and fine-tuning bespoke AI solutions tailored to enterprise challenges.

• Architect and implement robust, scalable Generative AI systems using LLMs to solve enterprise-wide challenges in automation, knowledge discovery and workflow acceleration.
• Fine-tune LLMs and foundational models to enterprise-specific data, optimising for performance, latency and relevance.
• Integrate AI tools into existing systems such as ServiceNow, GitHub, Tableau, SharePoint and other platforms.
• Define, build and maintain scalable MLOps and LLMOps infrastructure for efficient model deployment, monitoring and lifecycle management.
• Develop automated AI-driven tools for internal support, IT ticketing systems and operational efficiency improvements.
• Lead the creation of proofs of concept and transition them into production-grade AI features with cross-functional adoption plans.
• Champion ethical AI practices, security compliance and responsible AI principles across the development lifecycle.
• Collaborate with internal stakeholders to promote AI literacy and adoption through demos, training sessions, documentation and strategic influence.
• Stay up to date on industry trends, research papers and emerging models to continuously improve and innovate internal AI capabilities.
• Work closely with business and technology leaders to identify high-impact AI use cases and develop plans to address them.

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or a related discipline.
• Minimum 3 years in applied AI/ML roles.
• Experience integrating ML solutions with platforms such as ServiceNow, GitHub or cloud-based environments.
• Deep understanding of Generative AI, LLMs, NLP, Transformers and model fine-tuning techniques.
• Practical experience building and deploying models using frameworks such as Hugging Face, PyTorch or TensorFlow.
• Strong knowledge of cloud AI infrastructure (AWS/GCP/Azure), containerisation (Docker/Kubernetes) and ML pipelines.
• Hands-on experience with tools such as MLflow, Weights & Biases or SageMaker.
• Strong full-stack engineering skills (Python, JavaScript, Node.js, React, etc.) and a background in building APIs and microservices.
• Proficiency in building ETL pipelines, managing structured and unstructured datasets, and using SQL and NoSQL systems.
• Exceptional communication skills to present technical topics clearly to executives.
• Strategic mindset to align AI concepts and projects with business objectives.

• Experience in enterprise contexts is ideal.
• R experience is a bonus.

• Eligible employees have the option of working remotely one day per week.

• Annual discretionary performance bonus, awarded at the sole discretion of the Company and subject to any terms and conditions set by the Company.
• Medical, dental and vision insurance.
• Life/AD&D insurance.
• Short- and long-term disability.
• Fertility and family-forming assistance.
• Wellbeing allowance.
• Educational assistance.
• Mental health coaching/therapy.
• Tax-advantaged accounts such as HSA and healthcare/dependent care FSAs.
• 401(k) retirement plan.
• Time off benefits including vacation, sick time and personal days.