Applied AI Engineer – Associate Risk Engineering – Software Engineering

Risk division is undergoing an AI-driven transformation to develop comprehensive processes that monitor assess and manage the risk of expected and unexpected Applications team builds top-class engineering solutions for critical functions including leveraging Large Language Models (LLMs) and agentic workflows to compute the firms ongoing and stressed capital requirements. We work on a daily basis with requests from global regulators and central banks.

We are looking for passionate engineers with strong programming skills and applied AI experience who are willing to work with challenging use cases in a fast-paced environment. We need interdisciplinary engineers who like exploring brand new fields and using various new and proprietary technologies.

At Goldman Sachs our culture is one of teamwork innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative work spaces and mindfulness classes to working from home and flexible work options we offer our people the support they need to reach their goals in and outside the office.

Responsibilities and qualifications

• Architect and deploy end-to-end AI solutions including RAG pipelines and autonomous agents to improve risk management processes.
• Develop technical specifications infrastructure designs testing strategies and implementation plans.
• Learn about capital and regulatory requirements and how to translate them into prompt engineering.
• Build strong relationships with regulators senior risk managers and senior business stakeholders.
• Work in a team of talentedengineers who are passionate about identifying patterns and building common solutions.

Minimum Experience and Qualifications:

• Bachelors degree in Computer Science Engineering Mathematics Physics or related STEM discipline.
• 3-5 years of experiencein software development including a clear understanding of software design and core programming concepts.
• 1 year of hands-on experience architecting and deploying AI solutions.
• Programming experience with at least one imperative language (e.g. Java C/C Python JavaScript).
• Strong problem solving and analytical skills.

Preferred Experience and Qualifications:

• Experience with RAG architectures and orchestration frameworks like LangChain or Google ADK.
• Experience with containerization and orchestration tools (Docker Kubernetes).
• Understanding of LinuxSQL and version control systems.
• Experience with building complex distributed AI applications at scale.
• An interest in Risk Management or in specific OTC derivative products.

ABOUT GOLDMAN SACHS

At Goldman Sachs we commit our people capital and ideas to help our clients shareholders and the communities we serve to grow. Founded in 1869 we are a leading global investment banking securities and investment management firm. Headquartered in New York we maintain offices around the world.

We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally from our training and development opportunities and firmwide networks to benefits wellness and personal finance offerings and mindfulness programs. Learn more about our culture benefits and people at Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group Inc. 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race color religion sex national origin age veterans status disability or any other characteristic protected by applicable law.