Generative AI Director (London)
Job Description As a Generative AI Executive Director within our Chief Technology Office (CTO), you will be responsible for leading a team of approximately 20 data scientists and engineers, overseeing the development and implementation of advanced AI and machine learning solutions. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). This senior leader will play a pivotal role in shaping the bank's technology strategy, ensuring alignment with business objectives, and fostering a culture of innovation and collaboration. Job Responsibilities
- Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs.
- Bridge scientific research and software engineering, requiring expertise in both domains.
- Lead, mentor, and inspire a team of 20 data scientists and engineers, fostering a culture of innovation and excellence.
- Collaborate with senior leadership to identify opportunities for AI/ML to drive business growth and efficiency.
- Masters or PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics.
- Proven track record in building and leading teams of experienced ML engineers/scientists, preferably in the financial sector.
- Experience with scalable AI model deployment, including end-to-end ML model lifecycle management, optimizing training, inference, and monitoring for large-scale AI applications.
- Knowledge of Generative AI & LLM infrastructure, including AI ecosystems for GPT, OpenAI, and optimizing data ingestion, model scaling, and performance tuning.
- Proficiency in Python & C++ for building ML pipelines, optimizing AI inference, and ensuring low-latency execution.
- Expertise in AI-ready infrastructure, data engineering, modern data management skills, and platforms such as Databricks and SageMaker.
- Ensure the scalability, reliability, and security of AI/ML systems.
- Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results).
- Strong understanding of computer science fundamentals and SDLC best practices.
- Ability to understand business objectives and align ML problem definition accordingly.
- Excellent communication skills to effectively convey technical information and ideas at all levels, building trust with stakeholders.
- Stay abreast of industry trends and emerging technologies in AI/ML.
- Company
- JPMorgan Chase & Co
- Location
- London, UK
- Employment Type
- Full-time
- Posted
- Company
- JPMorgan Chase & Co
- Location
- London, UK
- Employment Type
- Full-time
- Posted