Engineering – London – Analyst - AI Software Engineering

MORE ABOUT THIS JOB

Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes 

through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm’s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people. 

As a member of the CF&O AI team, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CF&O AI team operates horizontally across CF&O divisions, with a clear mandate to strategically roll out impactful AI applications.

Key Responsibilities:

• Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains.
• Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements.
• Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions.
• Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows.
• Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications.
• Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy.
• Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies.

Qualifications, Experience, and Attributes:

• Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact.
• Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions.
• Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges.
• Strong programming skills in languages commonly used in AI development, most importantly Python.

Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable.