If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.
As Applied AI/ML Engineer in an agile team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.
Job Responsibilities
Co-develop and implement LLM-based, machine learning models and algorithms to solve complex operational challenges
Design and deploy generative AI applications including Retrieval-Augmented Generation (RAG) systems, agentic AI frameworks, and multi-agent orchestration solutions to automate and optimize business processes
Build and optimize AI agent architectures with tool-calling capabilities, reasoning chains, and autonomous decision-making workflows
Collaborate with stakeholders to understand business needs and translate them into technical solutions
Analyze large datasets to extract actionable insights and drive data-driven decision-making
Ensure the scalability and reliability of AI/ML solutions in a production environment using infrastructure as code practices
Design and maintain cloud infrastructure using Terraform to support AI/ML workloads at scale
Stay up-to-date with the latest advancements in AI/ML technologies, LLMs, and generative AI patterns, and integrate them into our operations
Mentor and guide junior team members in coding & SDLC standards, AI/ML best practices and methodologies
Required qualifications, capabilities, and skills
Master's or Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, with a focus on engineering
Excellent API design and engineering experience with proven usage of API Python frameworks such as FastAPI
Proficiency in Python & async programming, with a strong emphasis on writing comprehensive test cases using testing frameworks such as pytest to ensure code quality and reliability
Hands-on experience with generative AI technologies including RAG (Retrieval-Augmented Generation) architectures, prompt engineering, and LLM fine-tuning techniques
Experience building agentic AI systems, including agent frameworks (LangChain, LangGraph, AutoGen, CrewAI), tool integration, and multi-agent coordination
Expertise with Index & Vector DBs such as OpenSearch, ElasticSearch, Pinecone, or Chroma for semantic search and retrieval applications and Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker, Bedrock, or Lambda
Champion of MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models
Solid understanding of data preprocessing, prompt engineering, few-shot learning, fine-tuning strategies, feature engineering, and model evaluation techniques
Proficiency in AI coding tools and editors such as Cursor, Windsurf, or GitHub Copilot and Familiarity with machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn
Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS, ECS)
Experience with infrastructure as code using Terraform to provision and manage AWS resources for AI/ML workloads
Preferred qualifications, capabilities, and skills
Working knowledge of Java programming for integration with enterprise systems and microservices architectures
Expertise in cloud storage such as RDS and S3, and computing frameworks like AWS Glue or EMR
Advanced Terraform skills including module development, state management, and CI/CD integration for infrastructure deployment
Experience with AWS services such as Lambda, Step Functions, EventBridge, API Gateway, and CloudWatch for building serverless AI applications
Knowledge of LLM evaluation frameworks, guardrails implementation, and responsible AI practices
Experience with streaming data processing and real-time inference pipeline
Excellent problem-solving skills and the ability to work independently and collaboratively
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
