Opportunity
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 build and deliver 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.
Responsibilities
* Hands‑on involvement in building and operating highly sophisticated LLM driven applications.
* Partner directly with other technology teams on LLM projects to advise and assist as needed.
* Collaborate with Data Science, Cybersecurity to deliver state‑of‑the‑art ML products.
* Manage and support a team of ML and MLOps engineers.
* Collaborate with DevOps engineers to plan and deploy data storage and processing systems.
* Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches.
* Develop secure high‑quality production code, and review and debug code written by others.
* Contribute to a culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
* Formal training or certification on software engineering concepts and advanced applied experience.
* Degree‑level education in computer science or related discipline.
* Advanced Python programming skills.
* Proven experience building and operating scalable ML‑driven products.
* AWS and/or Azure 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.
* Proficiency in all aspects of the Software Development Life Cycle.
* Terraform and IaaC experience.
* Experience designing and delivering 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.
Equal Employment Opportunity Statement
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.
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