Overview Your role here is tolead executionYou could be just the right applicant for this job Read all associated information and make sure to apply.
- delivering Gen AI solutions, RPA solutions and actually solving real business problems.There is an existing role overseeing AI enablement.That is focused on getting the technology in place to enable AI your role here isfocused on delivery.Very much the Gen AI side of things solooking at AI use cases, stuff like customer engagement or fraud or areas like propensity modelling, recommendation engines and machine learning, etc.Also,embedding AI into end-to-end processes such as the many steps of the mortgage application work flow for example.On the more exploratory side there is an ambition to build out an internal LLM as a bank for specific domains like legal or knowledge based functions.Youll also be rolling out Co Pilot for Developers.With all that in mind, your role will also be to bring some focus on where attention should be directed with all these potential initiatives.In broader terms,youll be looking at business problems and youll assess whether AI can help to solve them.If thats a Yes thenyoull go ahead and build those solutions with your team and furthermore youll build out a roadmap of those initiatives.With an AI strategy in place, your role is also to come in and evaluate that and then youll have the scope tore-shape the AI strategy in your own vision.Zooming out from the technical side, youll be building out your own team.On top of that, as well as strong technical skills on AI this is still a senior facing role in the bank so there really is an important communication piece in interacting with those senior stakeholders in the bank.Key Deliverables Leading the development and application of artificial intelligence, including Gen AI, to solve complex business challenges Leading advanced algorithm design, leading and managing data science workflows, and ensuring the successful experimentation and deployment of AI solutions Identify AI use cases and opportunities Lead the experimentation of Gen AI models (LLMs integration, RAG techniques, etc.) Lead the design of algorithms for predictive analytics, natural language processing (NLP), computer vision, and other AI applications.Establish frameworks and techniques for bias detection, fairness and explain-ability.Ensure alignment of AI strategies with organisational goals and risk appetite.Your Background
- Significant lead and delivery experience in AI/Data Science techniques and practices, frameworks, tools and platforms.- Expert in machine learning, deep learning and statistical modelling as well as strong programming skills such as Python, R.- Excellent experience in AI ethics, explainability and bias mitigation techniques.- Understanding of data pipelines, MLOps, data governance, and cloud platforms.
xsokbrc- Solid understanding of big data technologies and data pipeline development.