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AI/ML Software Engineer III

Columbus, OH, USA
Up to $180,000/ year
Machine Learning Engineer Artificial Intelligence Engineer Python Developer Data Engineer Full Stack Python Developer
Actively hiring

AI/ML Software Engineer III

JPMorganChase
Columbus, OH, USA
Up to $180,000/ year
Machine Learning Engineer Artificial Intelligence Engineer Python Developer Data Engineer Full Stack Python Developer
JPMorganChase
Actively hiring

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 
JOB DESCRIPTION

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.

Job 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.

Required qualifications, capabilities and skills

  • 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.

Preferred qualifications, capabilities and skills

  • 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.
ABOUT US

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


ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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