Applied AI Engineer – Associate - Risk Engineering – Software Engineering

Goldman Sachs; Warszawa; On-site; PLN 100,000 - 130,000; Full time

Job summary

Goldman Sachs is seeking engineers in Warsaw, Poland for their Risk Applications team to develop cutting-edge AI solutions for risk management processes. Desired candidates have 3-5 years in software development, a Bachelor's in a STEM field, and programming experience in languages like Java or Python.

The role involves deploying AI solutions, building regulatory relationships, and collaborating in a fast-paced environment. Preferred skills include experience with containerization and orchestration tools as well as complex AI applications.

Qualifications

• 3-5 years of experience in software development with a strong grasp of design and programming concepts.
• 1+ year of hands-on experience architecting AI solutions.
• Programming experience with at least one imperative language (e.g., Java, C/C++, Python, JavaScript).

Responsibilities

• Architect and deploy end-to-end AI solutions to enhance risk management.
• Develop infrastructure designs, testing strategies, and implementation plans.
• Build relationships with regulators and senior risk managers.

Skills

Software development

AI solutions architecting

Strong programming skills

Problem-solving skills

Analytical skills

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Physics or related STEM

Tools

Docker

Kubernetes

SQL

Job description

Risk division is undergoing an AI-driven transformation to develop comprehensive processes that monitor, assess, and manage the risk of expected and unexpected events. Risk Applications team builds top-class engineering solutions for critical functions, including leveraging Large Language Models (LLMs) and agentic workflows to compute the firm’s 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.

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 talented engineers who are passionate about identifying patterns and building common solutions.

Minimum Experience and Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related STEM discipline.
• 3-5 years of experience in 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 Linux, SQL and version control systems.
• Experience with building complex, distributed AI applications at scale.
• An interest in Risk Management or in specific OTC derivative products.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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.