JPMorgan Director ML Engineering Data Platform 

United States, New Jersey, Jersey City 

593416349

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect
• Define and execute the technical roadmap for LLM-based agent development and AI marketplace capabilities
• Drive the transformation from traditional analytics to augmented agentic analytics, establishing new paradigms for human-AI collaboration
• Design and implement sophisticated LLM agent architectures capable of operating within highly regulated financial environments
• Build robust agent orchestration systems that can handle complex multi-step financial workflows and decision-making processes
• Design APIs and SDKs that enable seamless integration of AI agents into existing business applications

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 7+ years applied experience
• Experience developing or leading cross-functional teams of technologists
• Experience with hiring, developing, and recognizing talent
• Experience leading a product as a Product Owner or Product Manager
• Practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field+
• Proven track record of deploying LLM-based systems in production environments at scale (millions of requests daily)
• Deep expertise in modern ML frameworks (PyTorch, TensorFlow), LLM libraries (ADK, LangGraph, LlamaIndex), and cloud platforms (AWS, Azure, GCP)
• Strong background in distributed systems, microservices architecture, and real-time data processing
• Demonstrated ability to translate complex technical concepts into business value and executive-level communication
• Experience building ML platforms or infrastructure from the ground up with platform-as-a-service mindset

Preferred qualifications, capabilities, and skills

• Experience working at code level
• Experience with advanced LLM techniques: RLHF, constitutional AI, multi-agent systems, tool use, and reasoning
• Background in MLOps platforms, model serving infrastructure, and automated ML pipelines
• Knowledge of specialized hardware for AI workloads (GPUs, TPUs) and optimization techniques
• Previous experience at a fintech company, major bank, or financial services technology provider
• Experience managing distributed teams and cross-functional partnerships