Applied ML and Generative AI Leader - Executive Director
JP Morgan Chase
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 responsibilitiesProvide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployedWork 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 reliabilityImplement 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 skillsBachelor'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 workstreamsProficiency 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 skillsFamiliarity 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. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.Full timePosting Date: 2026-09-30
$61k - $101k
...demonstrated experience developing and deploying machine learning and generative AI solutions in Python. We require the ability to produce and... ...and mentoring engineers through design reviews and delivery execution. Responsibilities: We build generative AI, agentic AI,...SuggestedFull timeWork at office$61k - $101k
...developing and deploying machine learning and generative AI solutions with Python Proven ability... ...stakeholders, including senior leaders, to align delivery to business objectives... ...We are working with J.P. Morgan on this Applied AI and Machine Learning Lead role within...SuggestedFull timeWork at office$61k - $101k
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...Team As the Vice President, AI Workforce Transformation Leader, you will serve as the... ...assume multi‑step workflow execution. Design agile, modular organizational... ...Strong understanding of AI/ML concepts and their... ...the above benefits may not apply to part-time employees...Full timePart timeShift work- ...prototype, and scale agentic AI solutions across a... ...Platforms evaluate trade‑offs, apply appropriate controls,... ...environments AI / ML foundations: Strong understanding... ...and responsible use of generative AI capabilities... ...years and today we are a leader in investment banking, consumer...For contractors
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$61k - $101k
...concepts, along with 12+ years of applied experience. We need strong... ...experience with agentic AI frameworks and deep knowledge... ...existing systems and using NLP and ML to improve client onboarding... ...effectively with senior leaders and executives. We require a strong understanding...Full time- ...The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase... ...optimization strategies to fine-tune generative models for specific GenAI... ...high-quality outputs. Execute tasks throughout a model... ...00 years and today we are a leader in investment banking, consumer...
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- ...Client 360 Technology Organization is seeking an integral leader to define and execute the strategic vision. Client 360 is a global team within Corporate... ..., including Artificial Intelligence and Machine Learning (AI/ML) and Agentic AI. As the Vice President in the C360 Data...Work at office
- ...Working Capital (T&WC) Business! As the AI Use Case Business Lead (VP), within T&... ...teams Familiarity with AI/ML concepts, generative AI, and large language model applications... ...spans over 200 years and today we are a leader in investment banking, consumer and small...
$61k - $101k
...concepts plus at least 5 years of applied experience. We expect hands... ...using enterprise-authorized AI capabilities in architecture... ...orchestration, and responsible use of generative AI capabilities. Preferred:... ...than 200 years, and we are a leader in investment banking,...Full timeFor contractors- ...and oversee complex program execution by managing resources,... ...technologies Institutionalize the AI Product Development... ...of the path from AI idea generation to production by applying value stream mapping, flow... ...Advise senior technology leaders on where agentic systems create...
$198.9k - $357.9k
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- Fidelity is seeking a Senior AI Technology Risk professional to shape enterprise AI... ...regulatory alignment. You will report to the Director of AI Technology Risk and help advance the AI Risk Management Program across Generative AI and ML. #J-18808-Ljbffr Soteria Reinsurance...
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