AI Software Engineer III- PySpark, Python, AWS at JPMorgan Chase

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a AI Software Engineer III- Py Spark, Python, AWS at JPMorgan Chase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology solutions in the business intelligence, AI and reporting space 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.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure high-quality production code to build unified data model, business intelligence, reporting and AI/ML solutions to ensure seamless integration into business workflows.

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• 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

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts with 3+ years of applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Extensive hands-on Python and Py Spark experience
• Experience with major cloud platforms (AWS/Azure/GCP) and big-data services (e.g., AWS EMR, Redshift, Lambda, S3)
• Experience developing multi model LLM systems, GenAI tools, ML Model lifecycle, AI coding assist tools, and cloud-native ML Ops pipelines and frameworks
• Familiar with Python-based ML libraries (e.g., Scikit-learn, Py Torch, Tensor Flow) and ability to work with data scientists to operationalize models
• Proficiency with DevOps/CI/CD (e.g., Jenkins/GitLab) plus strong SQL/NoSQL skills, including performance tuning/optimization
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with data visualization tools and data integration patterns
• Experience with cloud lake house platforms like Snowflake and/or Databricks
• In-depth knowledge of the financial services industry and their IT systems
• Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation