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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # The Core Engineering, New York, Vice President, AI/ML Engineer - **Company:** The Goldman Sachs Group Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Software Quality, Code Review, Continuous Integration, Data Governance, Data Systems, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Language Modeling, Performance Tuning, Tensorflow, Azure Machine Learning, Unstructured Data, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Containerization, Scikit Learn, Kubernetes, Information Technology, HuggingFace, Production Code, Data Management, Machine Learning Operations, Software Version Control, Docker - **Published:** August 27, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87374867/1 ## About the Role * A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. * Preferably 7+ 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. * Proven ability to mentor and guide junior engineers. 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. ## Description The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm's compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm's liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering's 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: * Metrics & Analytics Platforms: responsible for the measurement and management of the firm's risk, capital, and liquidity for The Core functions * The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics * Financials & Reporting: responsible for facilitating the production of the firm's financials and a wide range of reporting functions * Non-Financial Risk & Controls: responsible for non-financial risk and control processes * Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement * Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 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 The Core 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 scale of 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 firm's ability to manage risk and maintain its reputation., * Design and architect 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. * Lead technical projects from inception to completion, providing guidance and mentorship to junior engineers. * 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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