Software Engineer III - AI/ML

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 Risk Technology organization, 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

• Develop and implement GenAI and Agentic AI solutions using Java and Python to enhance automation and decision-making processes
• Design, deploy, and manage LLM-based solutions for various NLP tasks in the financial services domain, integrating with Java-based enterprise systems
• Conduct research on prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques to optimize model performance
• Build RESTful APIs and microservices using Java and Spring Boot to expose ML models and AI capabilities to downstream applications
• Collaborate with cross-functional teams including data scientists, engineers, and product owners to identify requirements and develop solutions to meet business needs
• Build and maintain scalable data pipelines and ML workflows using Java-based frameworks and cloud services
• Develop and maintain tools and frameworks for model training, evaluation, deployment, and monitoring
• Implement MLOps best practices including model versioning, A/B testing, and continuous model evaluation
• Ensure production-quality code with comprehensive unit testing using JUnit, Mockito, and integration testing frameworks
• Communicate effectively with both technical and non-technical stakeholders, including senior leadership

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience.
• Strong proficiency in Java (Java 11+) and Spring Boot for building enterprise-grade applications
• Solid Python programming skills for ML/AI development and data processing, 3+ years of AI/ML experience.
• Experience with RESTful API development, micro services architecture, and containerization (Docker, Kubernetes)
• Hands-on experience with LLMs, prompt engineering, and at least one LLM orchestration framework (LangChain, LlamaIndex, or similar)
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn) and integrating ML models into production systems
• Experience with CI/CD pipelines, unit testing (JUnit, Mockito, pytest), and version control (Git)
• Strong understanding of software engineering best practices and agile methodologies
• Strong analytical and problem-solving skills with ability to work independently and collaboratively
• Excellent written and verbal communication skills to convey technical concepts to diverse audiences

Preferred Qualifications, Capabilities, and Skills

• Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma) and embedding models
• Experience with Java-based data processing frameworks (Apache Spark, Apache Kafka, Apache Flink)
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI/ML services (SageMaker, Azure ML, Vertex AI)
• Knowledge of observability and monitoring tools for production ML systems (Prometheus, Grafana, DataDog)

 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. 

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