Software Engineer III - Java, AI, AWS at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, AI Engineering, Data Engineering, Agentic AI, Machine Learning, Redshift, Oracle, Terraform, Github Copilot, CI/CD, Agile, SageMaker, LangChain, MLOps, Data Pipelines

Industry

Financial Services

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).

Responsibilities

Design and implement AI and data engineering solutions, including autonomous agents and scalable data architectures. Collaborate with cross-functional teams to integrate Agentic AI into production systems to enhance business processes.