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AI Engineer/Data Scientist

One of the oldest financial institutions offering innovative financial solutions to millions of consumers, small businesses and prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
Plano, TX, USA
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Finance

Description For AI Engineer/Data Scientist

JPMorgan Chase is seeking an experienced AI Engineer/Data Scientist to join their AI4TECH team. This role offers an opportunity to transform your career while leading multiple teams in breakthrough innovations at one of the world's leading financial institutions.

As an AI Engineer/Data Scientist, you will be at the forefront of developing and implementing generative AI solutions across JPMorgan Chase's business lines. You'll be responsible for creating innovative generative AI applications, establishing best practices for responsible AI deployment in financial services, and fostering a culture of AI-driven problem-solving.

The role involves working closely with business units throughout JPMC to ensure generative AI workflows deliver measurable value while maintaining alignment with strategic priorities. As a key technical contributor, you'll drive the practical application of generative AI technologies by identifying high-impact use cases, addressing implementation challenges, and ensuring solutions comply with financial industry regulations, data security requirements, and ethical AI guidelines.

Your expertise in building scalable, production-ready generative AI systems will directly enhance JPMC's operational efficiency, customer experiences, and risk management capabilities through intelligent automation of complex financial processes. This position requires advanced knowledge in AI/ML applications, particularly in generative AI and large language models, along with strong programming skills in Python and relevant machine learning frameworks.

The ideal candidate will have 5+ years of experience in AI/ML development, an advanced degree in a relevant field, and proven ability to work independently on complex AI design challenges. You'll join a diverse and inclusive team culture while contributing to groundbreaking AI innovations in the financial sector.

Benefits include competitive compensation with base salary and potential for commission-based pay, comprehensive healthcare coverage, retirement plans, educational support, and various wellness programs. This role represents an exceptional opportunity to shape the future of AI applications in financial services while working for a global leader in the industry.

Last updated 6 days ago

Responsibilities For AI Engineer/Data Scientist

  • Provides technical guidance on generative AI solutions and machine learning systems
  • Develops robust, high-quality production code for generative AI applications
  • Drives decisions that influence AI product design, model functionality, and technical operations
  • Serves as a function-wide subject matter expert in generative AI and data science methodologies
  • Actively contributes to the AI engineering community
  • Influences peers and project decision-makers on cutting-edge AI technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Requirements For AI Engineer/Data Scientist

Python
  • 5+ years of experience in AI/ML development, with focus on generative AI and large language models
  • Hands-on practical experience delivering AI system design and development in regulated environments
  • Advanced in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
  • Advanced knowledge of AI/ML applications and technical processes
  • Ability to tackle complex AI design problems independently
  • Practical experience with cloud-native AI/ML infrastructure
  • Advanced degree in Computer Science, AI, Mathematics, or related field

Benefits For AI Engineer/Data Scientist

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
  • Base salary
  • Commission-based pay
  • Discretionary incentive compensation
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

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