Job Description

Organization Description

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Employer Description

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.

Job Description

JP Morgan Asset Management is expanding LLM use cases across AM business areas. We are seeking a software engineer with expertise in python and prior experience in utilizing LLMs. As an LLM Engineering Lead within Asset Management you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform.

You will work with 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 LLM driven applications.
• Partnering directly with other technology teams on LLM projects to advise and assist as needed.
• Collaborating with Data Science, Cybersecurity to deliver state of the art ML products.
• 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 team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills
• Advanced python programming skills.
• Formal training or certification on software engineering concepts and advanced applied experience.
• Educated to degree level in a computer science or related discipline.
• Proven experience in building and operating scalable ML-driven products.
• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) .
• Hands on experience in Azure and AWS.
• Proficiency with cloud technologies like Kubernetes, Airflow.
• Experience working in a highly regulated environment.
• Proven ability to iterate quickly.
• Proficient in all aspects of the Software Development Life Cycle.
• Terraform, IaaC experience.
• Experience with design & delivery of large scale cloud-native architectures.
• Experience with microservices performance tuning, performance optimization, real-time applications.

Preferred qualifications, capabilities, and skills
• Experience with financial data and data science.

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