JP Morgan Chase - Applied Artificial Intelligence/Artificial Intelligence Lead

Description: J.P. Morgan Asset Management is expanding Large Language Models use cases across Asset Management business areas. We are seeking a hands on software engineer with expertise in python and prior experience in utilizing Large Language Models.

As an Large Language Models Engineering Lead within Asset and Wealth Management you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated Large Language Models platform. You will lead an agile team that will work on building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.

Job responsibilities:

- Hands on involvement in building and operating highly sophisticated Large Language Models driven applications.

- Collaborating with Data Science, Cybersecurity to deliver state of the art Machine Learnings products.

- Managing and supporting a team of ML and MLOps engineers.

- Collaborating with Devops engineers to plan and deploy data storage and processing systems,

- Executing creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

- Developing secure high-quality production code, and reviews and debugs code written by others.

- Add to a team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills:

- Formal training or certification on software engineering concepts and 5+ years applied experience

- Educated to degree level in a computer science or related discipline.

- Advanced python programming skills.

- Proven experience in building and operating scalable ML-driven products.

- Hands on experience in Azure and AWS.

- Experience with microservices performance tuning, performance optimization, real-time applications.

- Terraform, IaaC experience.

- Proficiency with cloud technologies like Kubernetes, Airflow.

- Experience working in a highly regulated environment.

- Proficiency in end to end Software Development.

Preferred qualifications, capabilities, and skills:

- Experience with financial data and data science.

- Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) .

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.

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