JPMorgan Senior Manager Software Engineering - AI/ML 

United States, Georgia, Atlanta 

910107471

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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 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

Preferred qualifications, capabilities, and skills

• 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.