AI/ML Software Engineer III

JPMorgan Chase & Co. • Columbus, OH

15h

About The Position

You will join an industry-leading team building production-grade AI-powered
software, from intelligent retrieval and automation systems to generative AI
tools that augment financial advisors, investors, and operations teams.

As a Software Engineer III at JPMorganChase within Applied AI and Machine
Learning, you will build, deliver, and continuously improve real software that
solves real problems. You will partner closely with financial advisors, client
service, product, operations, and risk and control teams to translate ambiguous
needs into measurable outcomes, and you will help scale responsible,
well-governed AI capabilities across multiple use cases.

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Proficiency in Python and strong software engineering fundamentals, including testing, version control, code review, continuous integration/continuous delivery, and writing maintainable production-quality code.
• Strong SQL and data management capability, including dataset comprehension, data profiling and quality checks, and diagnosing pipeline and data issues (for example, schema drift and inconsistent metrics).
• Experience building or supporting data pipelines for analytics or machine learning workflows.
• Familiarity with containerization and service fundamentals (for example, Docker and REST-based services).
• Practical experience with modern generative AI approaches, such as large language model APIs, retrieval-augmented generation architectures, embeddings, vector search, tokenization concepts, and evaluation of generative outputs.
• Understanding of responsible AI concepts, including privacy, security, and guardrails, and the ability to partner effectively with risk and control functions.
• Strong communication and collaboration skills across engineering, product, operations, and governance partners.

Nice To Haves

• Exposure to distributed data processing patterns (for example, Spark).
• Familiarity with deep learning frameworks and ecosystems (for example, PyTorch, TensorFlow, and Hugging Face).
• Knowledge of financial markets, wealth management products, or advisor and client workflows.
• Demonstrated builder mindset through open-source contributions or personal projects in AI and machine learning.

Responsibilities

• Prepare and manage data for AI products by sourcing, understanding, and curating structured and unstructured datasets for generative AI and machine learning applications.
• Build and maintain data pipelines supporting retrieval-augmented generation and analytics, including ingestion, parsing, chunking, metadata tagging, indexing, and transformations.
• Diagnose and resolve data issues by identifying root causes (for example, missing data, duplicates, schema changes, and inconsistent definitions) and coordinating remediation with upstream teams.
• Implement data quality checks, profiling, validation, reconciliation, and monitoring to detect issues early and prevent production regressions.
• Support governance and controls by following data handling requirements (access, retention, privacy, and security) and documenting sources, definitions, and assumptions.
• Collaborate with stakeholders to translate business needs into scoped technical approaches with measurable success criteria.
• Develop with modern generative AI techniques, including retrieval-augmented generation, prompt design, agentic workflows, evaluation frameworks, and safety guardrails.
• Use AI-assisted development tools as part of your daily workflow and contribute to team best practices for AI-augmented engineering.
• Communicate system behavior, trade-offs, and business impact clearly to both technical and non-technical audiences.
• Document designs, experiments, and decisions rigorously, including validation evidence and reproducibility details.
• Build reusable tooling and infrastructure (shared libraries, evaluation harnesses, prompt libraries, and pipelines) to scale AI delivery across use cases.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees