Senior Manager of Software Engineering AI/ML Solutions

Global financial services firm providing banking, investment and technology solutions.
Machine Learning
Staff Software Engineer
In-Person
5+ years of experience
AI · Finance

Description For Senior Manager of Software Engineering AI/ML Solutions

As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking- Data technology, you'll serve in a leadership role providing technical coaching and advisory for multiple technical teams. You'll be responsible for leading AI/ML initiatives, managing MLOps, and implementing Gen AI solutions. The role combines technical expertise in machine learning with leadership responsibilities, working with cutting-edge AI technologies while mentoring a team of engineers. You'll be part of a dynamic environment where you'll influence technical decisions, manage resources, and drive innovation in financial technology. The position offers the opportunity to work with advanced AI/ML technologies including LLMs, RAG approaches, and agent-based models while contributing to one of the world's leading financial institutions.

Last updated 8 hours ago

Responsibilities For Senior Manager of Software Engineering AI/ML Solutions

  • Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers
  • Be accountable for decisions that influence teams' resources, budget, tactical operations
  • Ensures successful collaboration across teams and stakeholders
  • Identifies and mitigates issues to execute a book of work
  • Provides input to leadership regarding budget, approach, and technical considerations
  • Creates a culture of diversity, equity, inclusion, and respect
  • 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

Requirements For Senior Manager of Software Engineering AI/ML Solutions

Python
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Extensive practical experience with Python and AWS cloud services
  • Experience in DataBricks ML lifecycle development
  • Advanced knowledge in software engineering, AI/ML, MLOps, and data governance
  • Demonstrated prior experience in leading complex projects
  • Expertise in computer science, computer engineering, mathematics, or related field
  • Understanding of large language model (LLM) approaches

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