Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Birmingham

Requirements

• A Bachelor’s degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 5+ years of experience as an applied data scientist / machine learning engineer
• 3-5 years of software development in one or more languages (Python, C/C++, Go, Java)
• 3 years designing, architecting, testing, and launching production ML systems
• Practical experience with Large Language Models (LLMs)
• Understanding of different LLMs, both commercial and open source
• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures
• Strong analytical problem-solving, ownership, and urgency

Nice to Haves

• Proficiency building and operating on cloud infrastructure (ideally AWS)

What You'll Be Doing

• Build agentic AI systems
• Productionize LLMs
• Integrate with runtime ecosystems
• Collaborate directly with users
• Safety, reliability, and governance
• Scale and performance
• Build a RAG pipeline
• Raise the bar

Perks and Benefits

• Access to excellent training programs at Goldman Sachs University
• Comprehensive series of courses covering technical, business, and leadership skills