The Core Engineering - Search & Entity Model Eng - Vice President - Bengaluru
Goldman Sachs · Posted Nov 6
Investment banking, securities, asset management, and wealth management services
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About the role
Compliance Engineering is a global team of engineers and scientists at Goldman Sachs dedicated to preventing, detecting, and mitigating regulatory and reputational risks across the firm. The team builds and operates platforms and applications using petabyte-scale structured and unstructured data, large language models, and agentic frameworks for compliance use cases. This Vice President role focuses on designing and delivering end-to-end AI/ML and GenAI solutions, including RAG pipelines, embeddings, fine-tuning, and production deployment.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study.
- Minimum 6+ years AI/ML industry experience for Bachelor’s/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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management, and consumer banking to a diverse client base. Established in 1869 and headquartered in New York City, the firm serves corporations, financial institutions, governments, and high-net-worth individuals worldwide.
- Industry
- Investment Banking
- Company size
- 47400+ employees
- Founded
- 1869
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Chief Operating Officer
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