Senior Manager of Software Engineering – AI/ML
| Company | JP Morgan Chase |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- Experience leading teams of technologists
- 4+ years applied experience in Machine Learning
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
- In-depth knowledge of the services industry and their IT systems
- Practical cloud native experience
- Experience and proficiency in Alteryx, Athena, Spark, Python, PySpark, AWS, and/or Azure
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
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
- Architect and scale ML/Gen AI solutions to support personalized and proactive services, ensuring intelligent anomaly detection and efficient first responder agents
- Develop and manage robust ML pipelines for batch and real-time processing, handling hundreds of millions of daily records using technologies such as Athena, Alteryx, Spark, and AWS Glue
- Lead CI/CD pipeline development and infrastructure-as-code practices to ensure resilient and reproducible systems
- Collaborate with cross-functional teams—including Business, Engineering, Legal, and Compliance—to transform models into live customer experiences
- 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
Preferred Qualifications
- Experience working at code level
- Strong understanding of model monitoring, evaluation, and metrics like precision and recall
- Proven track record in data science, aligning technical decisions with business KPIs, and leading teams to achieve strategic goals
- Successful in A/B testing and metric-driven decision-making
- Scientific thinker with practical cloud-native experience and a collaborative approach