Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, 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.
Job Responsibilities
- Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems.
- Write secure, high-quality code in Python, applying best practices for AI and data engineering with limited guidance.
- Develop and maintain scalable data architectures and integrate AI models and autonomous agents into production systems, considering upstream and downstream technical implications.
- Utilize AWS services (e.g., S3, Redshift, SageMaker, Lambda) to build and deploy data and AI solutions.
- Troubleshoot and resolve technical issues related to data processing, model deployment, agent orchestration, and application stability.
- Learn and apply system processes, methodologies, and skills for the development of secure, stable code and AI/data systems.
- Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications.
- Design, develop, and integrate Agentic AI solutions, such as autonomous agents, multi-agent systems, or AI-driven workflow automation, into existing and new products.
- Collaborate with cross-functional teams to identify opportunities for Agentic AI applications that enhance business processes, decision-making, and user experiences.
- Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals.
- Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks, applying best practices to production systems.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 4+ years applied experience in software development, with deep expertise in AI and data engineering, AWS services, Python, and databases such as Redshift and Oracle.
- Proficiency in python is a must
- Experience with infrastructure-as-code tools like Terraform and familiarity with Github Copilot.
- Hands-on practical experience in application development, testing, and operational stability, especially for AI and data-driven solutions.
- Experience in developing, debugging, and maintaining code in a large corporate environment, including modern programming languages and database querying languages.
- Demonstrable ability to code in one or more languages and build data pipelines, machine learning models, analytics applications, or autonomous agents.
- Experience across the whole Software Development Life Cycle, including model training, deployment, and monitoring.
- Exposure to agile methodologies, CI/CD, application resiliency, and security best practices.
- Strong knowledge of software applications and technical processes within AI, machine learning, data engineering, and cloud disciplines.
- Hands-on experience or strong understanding of Agentic AI concepts, such as autonomous agents, multi-agent systems, or AI orchestration frameworks.
- Experience building or integrating AI agents for data processing, workflow automation, or decision support.
Preferred Qualifications, Capabilities, And Skills
- Familiarity with modern front-end technologies and integrating AI/data solutions with user interfaces.
- Exposure to advanced cloud technologies and managed AI/data services (e.g., AWS SageMaker, Azure ML).
- Experience with big data frameworks (e.g., Spark, Hadoop) and data orchestration tools (e.g., Airflow).
- Understanding of MLOps and data governance best practices.
- Familiarity with frameworks and libraries for Agentic AI (e.g., LangChain, AutoGen, CrewAI, or similar).
