Job Description
When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking- Data technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation
- Enable the Gen AI platform and implement the Gen AI Use cases ,LLM fine tuning and multi agent orchestration
- Manage an AIML Engineering scrum team which includes ML engineers, Senior ML engineers and lead ML engineer.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Experience in DataBricks ML lifecycle development.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
- Demonstrated prior experience in leading complex projects, including system design, testing, and ensuring operational stability.
- Expertise in computer science, computer engineering, mathematics, or a related technical field.
- Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG)
Preferred qualifications, capabilities, and skills
- Real-time model serving experience with Seldon, Ray, or AWS SM
- Experience in agent-based model
Top Skills
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.