Applied AI Lead

As an Applied AI Lead in our cross-functional team you will use your applied research, engineering and data science expertise to lead AI initiatives in the Corporate Functions. You will collaborate with technology and business partners to source, analyze and integrate diverse data sources; develop & evaluate models; architect, implement & deploy software solutions to public cloud infrastructure benefiting over 200k employees across the firm.

You’ll solve business problems by creating and extending products to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organization reports and market data. You’ll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centered on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure.

Job responsibilities:

• Lead the design, build and deployment of impactful end-to-end AI solutions surfacing actionable insights for many business groups as part of a diverse team
• Drive exciting research and development activities for new and existing AI products, setting technical direction and standards
• Engage with stakeholders to understand and translate business requirements into robust technical solutions
• Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation
• Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops

Required qualifications, capabilities, and skills:

• Advanced degree (Master’s or PhD) in any STEM subject
• Practical research experience and a proven track record of applying AI or adjacent techniques to solve real-world problems in industry or academia
• Strong Python programming skills and familiarity with the Python ecosystem
• Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills

Preferred qualifications, capabilities, and skills:

• Experience applying large language models and agentic systems in industry
• Practical experience with graph technologies including databases and graph analytics frameworks
• Experience in natural language processing (NLP) and its applications
• Exposure to public cloud technologies and microservice deployment
• Experience in the financial services industry
• User interface design and development experience using React

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Our 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. Promote advanced artificial intelligence product development using diverse external data in a collaborative, cross functional environment.
#J-18808-Ljbffr