Lead Software Engineer - Python/Agentic AI/AWS

JPMorgan Chase & Co. • Jersey City, NJ

1d

About The Position

As a Lead Software Engineer at JPMorganChase within Corporate Technology Chief
Technology office, you serve as a seasoned member of an agile team to design
and deliver trusted market-leading technology products in a secure, stable, and
scalable way. You are responsible for carrying out critical technology solutions
across multiple technical areas within various business functions in support of
the firm’s business objectives.

You will be joining our advanced optimization engineering team, driving
innovation in AI-powered optimization across firmwide ML platforms. You will
help shape the architecture, develop reusable APIs/SDKs, transform datasets and
support AI/ML driven decision systems that improve cost efficiency and
performance across heterogeneous environments.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience in system design, application development, testing, and operational stability
• Experience with Python (building APIs/SDKs)
• Experience with Generative AI, specifically LLM Orchestration and Agentic AI libraries
• Experience with cloud services (AWS S3, Lambda, Bedrock, Postgres), Infrastructure as Code (Terraform), and containerized application development (AWS EKS, ECS)
• Comprehensive knowledge of the Software Development Life Cycle
• Experience communicating to business facing customers and technical team

Nice To Haves

• Familiarity with AI-assisted development tools (GitHub Copilot, Anthropic Claude Code)
• Knowledge of AI/ML model integration, context engineering and MCP
• Exposure to Databricks or Snowflake
• Familiarity with metrics processing tools (CloudWatch, Dynatrace, Datadog)
• AWS certifications

Responsibilities

• Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows
• Design and develop Agentic AI based capabilities to analyze workloads and generate recommendations
• Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions
• Implement secure, high-quality production code for platform services, APIs/SDKs, and automation pipelines
• Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations
• Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement
• Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices
• Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, Opportunity, inclusion, and respect

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees