[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase · Jersey City, NJ # Applied ML and Generative AI Leader - Executive Director Jersey City, NJ, United States Director Executive & Management Listed on JPMorganChase’s official careers site. Posted September 30, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210796265) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Applied ML and Generative AI Leader - Executive Director ## Job description As an Applied ML and Generative AI leader within our Corporate Technology team, you will develop applications and provide tech support for all our corporate functions across our network. You will operate as a hands-on leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. ### A core requirement is stakeholder partnership you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment. ### Job responsibilities - Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed - Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases. Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team. You will build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management, with emphasis on scalability and reliability Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. ### Required qualifications, capabilities, and skills - Bachelor's or Master's degree in Computer Science, Engineering, or a related field and 10+ years of engineering experience, including - 3+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance). ### Demonstrate hands-on engineering leadership setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreams Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications. A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering. Preferred qualifications, capabilities, and skills Familiarity with the financial services industries. Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. ## At a glance - Posted by the employer: Sep 30, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 20 days - Location: Jersey City, NJ, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210796265) ## More jobs at JPMorganChase ### [AI ML Engineering Lead - Vice President - AI for Payments](https://jobs.opennash.com/companies/jpmorganchase/jobs/ddfd73d1ecb0cf7cce93/) Jersey City, NJ, United States ### [AI Use Case Business Lead - Trade and Working Capital - Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/7c5dba106e5bd2eff5c5/) Jersey City, NJ, United States ### [Applied AI ML Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/30b18f41337ff9542efc/) Jersey City, NJ, United States ### [Applied AI Transformation Director - Identity Access Management](https://jobs.opennash.com/companies/jpmorganchase/jobs/0e0f8186aeb92ecd20dd/) Jersey City, NJ, United States ## Similar jobs at other companies ### [Manager, Generative AI](https://jobs.opennash.com/companies/verisk-analytics/jobs/ebad467f57f3103a51c2/) Verisk Analytics · Jersey City, NJ, United States ### [Software Development Engineer II, Generative AI](https://jobs.opennash.com/companies/verisk-analytics/jobs/f8f0e78bd3298b079e5d/) Verisk Analytics · Jersey City, NJ, United States ### [Applied Scientist, Prime Video - Generative AI](https://jobs.opennash.com/companies/amazon/jobs/c6c69d2e71904af6f8d1/) Amazon · US, NY, New York ### [Applied Scientist, Prime Video - Generative AI (Video)](https://jobs.opennash.com/companies/amazon/jobs/b3e6b8105daa270c8cdb/) Amazon · US, CA, Sunnyvale ### [Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling](https://jobs.opennash.com/companies/apple/jobs/a6bb58e0e29e1def3ac7/) Apple · Cupertino, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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