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- PySpark, Python, AWS at JPMorganChase 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 PySpark 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, PyTorch, TensorFlow) 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