Director - Applied AI ML & Data Engineering

Job Description Join our innovative team and shape the future of software development with AI-driven solutions.

As an Applied AI/GenAI ML Director within the Ai4Tect Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements. Your role will concentrate on establishing and nurturing common capabilities, best practices, and reusable frameworks, thereby laying the groundwork for AI excellence that propels innovation and consistency across business functions.

Job Responsibilities

• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.
• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.
• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines
• Advise on the strategy and development of multiple products, applications, and technologies.
• Lead advisor on the technical feasibility and business need for AIML use cases.
• Liaise with firm wide AI ML stakeholders.
• Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements.
• Influence across business, product and technology teams and successfully manages senior stakeholder relationships.
• champion the firm's culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on Machine Learning concepts and 10+ years applied experience in one of the programming languages like Python, Java, C/C++, etc. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• MS and/or PhD in Computer Science, Machine Learning, or a related field
• Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Strong understanding of AI implementation in software development and legacy code transformation.
• Solid understanding of Data Architecture and Engineering, building Data platforms/ Data Lakehouse
• Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph,
• Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team.
• Good understanding in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work on system design from ideation through completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed.

Preferred Qualifications, Capabilities, And Skills

• Experience with Ray, MLFlow, and/or other distributed training frameworks.
• Understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. using Advanced knowledge in Reinforcement Learning or Meta Learning.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

ABOUT US 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 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.

About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.