Compliance Engineering Surveillance & Models Eng Vice President Bengaluru

Description

YOUR IMPACT

Are you passionate about leveraging cutting-edge AI/ML techniques including Large Language Models to solve complex mission-critical problems in a dynamic environment Do you want to contribute to safeguarding a leading global financial institution

OUR IMPACT

We are Compliance Engineering a global team of engineers and scientists dedicated to preventing detecting and mitigating regulatory and reputational risks across Goldman Sachs. We build and operate a suite of platforms and applications that protect the firm and its clients.

We offer:

• Access to petabyte scaleof structured and unstructured data to fuel your AI/ML models including textual data suitable for LLM applications.
• The opportunity to work with state-of-the-art LLM models and agentic framework.
• A collaborative environment where you can learn from and contribute to a team of experienced engineers and scientists.
• The chance to make a tangible impact on the firms ability to manage risk and maintain its reputation.

Within Compliance Engineering we are seeking an experienced AI/ML Engineer to join our Engineering team. This role will focus on building and delivering high-impact AI/ML solutions for complex business problems incorporating the latest emerging trends and building vertical AI agents to run on data at massive scale.

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team you will:

• Design and develop scalable and reliable end-to-end AI/ML solutions specifically tailored for compliance applications ensuring adherence to relevant regulatory requirements. This encompasses the development and implementation of GenAI-driven solutions including agentic frameworks for automating compliance processes RAG pipelines and the creation and utilization of embeddings for compliance knowledge bases.
• Explore diverse AI/ML problems such as model fine-tuning prompt engineering and experimentation with different algorithmic approaches to address novel business challenges.
• Develop test and maintain high-quality production-ready code.
• Drive technical deliverables from design through implementation contributing strong hands-on engineering and sound technical judgment.
• Collaborate effectively with compliance officers legal counsel and other stakeholders to understand business requirements and translate them into technical solutions.
• Participate in code reviews to ensure code quality maintainability and adherence to coding standards. Promote best practices for AI/ML development including version control testing and documentation.
• Stay current with the latest advancements in AI/ML platforms tools and techniques to solve business problems.

QUALIFICATIONS

A successful candidate will possess the following attributes:

• A Bachelors Masters or PhD degree in Computer Science Machine Learning Mathematics or a similar field of study.
• Minimum 6 years AI/ML industry experience for Bachelors/Masters 4 years for PhD with a focus on Language Models.
• Strong foundation in machine learning algorithms including deep learning architectures (e.g. transformers RNNs CNNs)
• Proficiency in Python and relevant libraries/frameworks such as TensorFlow PyTorch Hugging Face Transformers scikit-learn.
• Demonstrated expertise in GenAI techniques including but not limited to Retrieval-Augmented Generation (RAG) model fine-tuning prompt engineering AI agents and evaluation techniques.
• Experience working with embedding models and vector databases.
• Experience with MLOps practices including model deployment containerization (Docker kubernetes) CI/CD and model monitoring.
• Strong verbal and written communication skills.
• Curiosity ownership and willingness to work in a collaborative environment.
• Demonstrated ability to collaborate effectively with peers and contribute in a highly technical fast-paced engineering environment.

Experience in some of the following is desired and can set you apart from other candidates:

• Experience with Agentic Frameworks (e.g. Langchain AutoGen) and their application to real-world problems.
• Understanding of scalability and performance optimization techniques for real-time inference such as quantization pruning and knowledge distillation.
• Experience with model interpretability techniques.
• Prior experience in code reviews/ architecture design for distributed systems.
• Experience with data governance and data quality principles.
• Familiarity with financial regulations and compliance requirements.

ABOUT GOLDMAN SACHS

At Goldman Sachs we commit to 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 committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group Inc. 2026. 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.

Required Experience:

Exec

Employment Type : Full Time
Experience: years
Vacancy: 1