
at J.P. Morgan
Bulge Bracket Investment BanksPosted 10 days ago
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**Director of Software Engineering (AI/ML Platform) - JPMorgan Chase, Palo Alto, CA** Lead multiple technical areas, drive AI/ML initiatives, and manage teams to deliver scalable, secure solutions. Oversee end-to-end lifecycle of AI/ML projects, fostering innovation and continuous improvement. Collaborate cross-functionally to define product visions and adopt best practices in software engineering, MLOps, and data governance. Ensure compliance with data privacy, security, and responsible AI standards. Leverage extensive cloud-native experience and expert knowledge in AI/ML, computer science, and software engineering. Manage budgets, report on progress, and influence highly matrixed organizations. Requirements include 10+ years of experience, 5+ years in leadership roles, advanced degrees in STEM fields preferred.
- Compensation
- Not specified
- City
- Palo Alto
- Country
- United States
Currency: Not specified
Full Job Description
Location: Palo Alto, CA, United States
If you are a software engineering leader ready to take the reins and drive impact, weve got an opportunity just for you.
As a Senior Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you lead multiple technical areas supporting our AI/ML platform, manage the activities of multiple teams, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods, deliver innovative AI/ML capabilities at scale, and help the firm remain at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
- Leads the design and development of our AI/ML platform, ensuring robustness, scalability, security, and high performance
- Manages and grows teams of talented engineers and AI specialists, fostering a culture of innovation and continuous improvement
- Collaborates with product management and cross-functional teams to define product vision, roadmaps, and deliverables for AI-driven features and capabilities
- Drives the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance
- Sets direction and governance for agentic AI-enabled engineering and automation, including appropriate guardrails for validation, security, resiliency, traceability, and reuse across teams
- Stays abreast of emerging trends and technologies in artificial intelligence and machine learning and assesses their applicability to business goals
- Ensures compliance with data privacy, security, and responsible AI requirements applicable to AI/ML solutions
- Oversees the end-to-end lifecycle of AI/ML projects, from ideation and development through deployment, operation, and maintenance
- Communicates complex technical concepts and solutions effectively to senior stakeholders across business, product, and technology
- Manages budgets and resources efficiently and reports progress, risks, and challenges to executive leadership
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years of applied experience; in addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical challenges
- Advanced knowledge of software engineering, artificial intelligence and machine learning, machine learning operations (MLOps), and data governance
- Experience developing or leading large, cross-functional teams of technologists
- Demonstrated experience influencing highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, deployment, and operational stability
- Experience with hiring, developing, and recognizing talent
- Experience leading the adoption of agentic AI-enabled engineering practices across teams, including defining operating expectations, validation and quality controls, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs
- Strong understanding of responsible AI use and control expectations, including data sensitivity, resiliency, security, and governance
- Extensive practical cloud-native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
- Masters degree or PhD in a STEM field
- In-depth understanding of search and ranking, recommender systems, Retrieval-Augmented Generation (RAG), similarity search, graph techniques, and other advanced AI/ML methodologies
- Understanding of large language model (LLM) techniques, including agents, planning, reasoning, and related methods
- Experience training and fine-tuning large language models and embedding models, including knowledge of LLM operations and AI operations
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChases review of criminal conviction history, including pretrial diversions or program entries.




