JPMorgan Sr Lead Security Engineer - AI 

United States, Virginia 

711369992

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 database 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.
• Executes 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.
• Develops secure and high-quality production code and reviews and debugs code written by others.
• Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls.
• Adds 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, and 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 a plus.
• Experience with Graph databases 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