As a Sr. Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of a team that works to deliver Machine Learning solutions that satisfy pre-defined functional and user requirements with the added dimension of detection and prevention of misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions.
We are seeking a skilled AI Engineer to join our team, focusing on the integration and deployment of cutting-edge Artificial Intelligence (AI) technologies. The ideal candidate will have a strong foundation in data science and machine learning, with specialized expertise in Large Language Models (LLMs), Vector and Graph Databases. Preferred candidates will also have a working knowledge of how to improve the quality of responses from LLMs in addition to in-depth knowledge of serving private models in an Enterprise setting.
Job Responsibilities
* Collaborate with domain experts to understand business goals and use cases, leveraging real-world data to solve complex business problems.
* Work with Cybersecurity domain experts to develop and deploy AI models, vector databases, and Retrieval Augmented Generation (RAG) applications.
* Engineer and maintain infrastructure for private LLM serving, ensuring scalability, reliability, and efficient GPU utilization.
* Implement Vector Databases to enhance information retrieval for Cybersecurity datasets.
* Ensure model interpretability, testability, and compliance with Responsible AI practices.
* Execute creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems.
* Develop secure and high-quality production code and review and debug code written by others.
* Minimize security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls.
* Add to team culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
* Formal training or certification on security engineering concepts and 5+ years applied experience.
* Strong understanding of Deep Learning and Transformer architectures.
* Proficiency in Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
* Experience with RAG frameworks like Langchain or Llamaindex.
* Familiarity with GPU enabled platforms, monitoring tools, and performance optimization strategies.
* Experience with Vector Databases and their relationship with AI models.
* Advanced in one or more programming languages.
* Proficient in all aspects of the Software Development Life Cycle.
* Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
* In-depth knowledge of the financial services industry and their IT systems.
* Working knowledge of Responsible AI, model fairness, reliability, and safety.
Preferred Qualifications, Capabilities, and Skills
* Expertise in cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment.
* Experience integrating or deploying LLM models in production environments.
* Experience with fine-tuning LLMs is a plus.
* Experience with Graph databases is a plus.
* Experience with developing REST APIs using tools such as Flask or FastAPI.
* Strong communication skills to articulate technical concepts to non-technical audiences.
* Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, or Computer Science, with 3+ years experience working with AI systems and Data Science.
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