Director of Software Engineer

As Director of Software Engineering at JPMorgan Chase within Connected Commerce, you will play a crucial role in enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. You will work as part of an agile team, leveraging your advanced technical capabilities to drive best-in-class outcomes across various technologies, supporting the firm's portfolios. Your key responsibilities will include: - Build AI-enabled consumer-centric and business use-case products using LLMs, RAG, and Agents. - 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. - Build robust agent orchestration systems capable of handling complex multi-step financial workflows and decision-making processes. - Influence leaders and senior stakeholders across business, product, and technology teams. - Create durable, reusable software frameworks that are leveraged across teams and functions. - Drive the adoption of AI technologies to enhance software capabilities and improve user experience. - Develop innovative AI/ML solutions using Generative AI techniques and utilizing public cloud architecture and modern standards, specifically with AWS, Azure using both commercial and open source models. - Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. - Champion the firm's culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills: - Formal training or certification on software engineering concepts and 10+ years applied experience, with 5+ years of experience leading technologists. - Hands-on practical experience in system design, application development, testing, and operational stability. - Extensive experience in enterprise programming, with proficiency in modern cloud platforms, particularly AWS. - Scalable AI Model Deployment knowledge and Generative AI & LLM Infrastructure understanding. - Advanced knowledge of software application development, technical processes, NLP, LLM, graph analytics, and machine learning tools. - Ability to effectively communicate with Senior Leaders and Executives. Preferred qualifications, capabilities, and skills: - Prior experience in the financial industry with an understanding of regulatory requirements. - Ability to lead and collaborate with cross-functional teams, strong analytical and problem-solving skills. - Previous experience at a fintech company, major bank, or financial services technology provider.,