As an AI Engineer, you will be at the forefront of developing and deploying sophisticated AI solutions. You will play a key role in advancing our AI capabilities by designing robust models and leveraging the latest in agentic frameworks and retrieval-augmented generation (RAG) techniques. Your responsibilities span model development, cloud integration and cross-functional collaboration to drive business-relevant innovation at scale.

Key Responsibilities:

• Implement AI solutions across diverse applications, incorporating agentic workflows where models operate autonomously across tasks or datasets with minimal human intervention.
• Develop and integrate RAG models to enhance model performance with contextually relevant data sources, improving output reliability and depth.
• Identifying, fine-tuning or distilling existing large language models to optimize for performance and accuracy in domain-specific use cases.
• Seamlessly deploy AI solutions in cloud environments, with a strong focus on the Azure ecosystem.
• Design, develop, and deploy advanced AI models using machine learning frameworks such as TensorFlow or PyTorch, with an emphasis on scalability and automation.
• Conduct model evaluations, benchmarking performance and interpretability across business domains.
• Build, refine and deploy machine learning/AI models in a Databricks environment.
• Collaborate with cross-functional stakeholders to translate AI advances into practical, high-impact business tools.
• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

Qualifications:

• A degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics or a related field
• Proven experience in developing and deploying AI/ML models, including familiarity with agentic frameworks and RAG approaches.
• Hands-on experience fine-tuning, distilling and serving language models (e.g., BERT-type, GPT-type, LLaMA).
• Expertise in building agentic workflows and RAG pipelines using tools like LangChain, LlamaIndex.
• Experience with embedding models and vector databases such as Azure AI Search, pgvector and FAISS.
• Proficiency in Machine Learning frameworks like TensorFlow and PyTorch, with hands-on experience in model development and optimization.
• Hands-on experience in working in data warehouse/platforms such as Databricks, Google Bigquery, Athena.
• Solid experience deploying AI in Azure.
• Ability to design and communicate scalable, reliable AI solutions across functional teams.
• Excellent problem-solving skills, with a track record of designing innovative AI solutions.
• Commitment to staying current with developments in AI technology particularly in autonomous agents, multi-modal reasoning, and large language model orchestration.

What can we offer you?

In return you will be rewarded with a competitive salary and a comprehensive benefits package including: a fantastic pension scheme, life insurance, medical insurance, flexible benefits and many other options and Corporate deals.

We also adopt a hybrid working arrangement, whereby a combination of work-from-home and in office is adopted.

WTW is an equal opportunity employer.