If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. 
 

As a Director of Software Engineering at JPMorganChase within the Payments Data Platform team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

 

Leads technology and process implementations to achieve functional technology objectivesMakes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and proceduresCarries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operationsDelivers technical solutions that can be leveraged across multiple businesses and domainsInfluences peer leaders and senior stakeholders across the business, product, and technology teamsChampions the firm’s culture of diversity, opportunity, inclusion, and respectDefine and execute the technical roadmap for LLM-based agent development and AI marketplace capabilitiesDrive the transformation from traditional analytics to augmented agentic analytics, establishing new paradigms for human-AI collaborationDesign and implement sophisticated LLM agent architectures capable of operating within highly regulated financial environmentsBuild robust agent orchestration systems that can handle complex multi-step financial workflows and decision-making processesDesign 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 experienceExperience developing or leading cross-functional teams of technologistsExperience with hiring, developing, and recognizing talentExperience leading a product as a Product Owner or Product ManagerPractical cloud native experienceExpertise 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 processingDemonstrated ability to translate complex technical concepts into business value and executive-level communicationExperience building ML platforms or infrastructure from the ground up with platform-as-a-service mindset

 

 

Preferred qualifications, capabilities, and skills

 

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