Are you ready to shape the future of banking with cutting-edge AI solutions? Join our dynamic team to transform client onboarding and document operations, partnering with business leaders to deliver measurable results in a fast-paced, collaborative environment.
Job Summary
As an AI Practitioner within the client onboarding and documentation organization, you will:
- Design and implement AI-driven solutions to streamline onboarding and document-intensive banking operations.
- Lead the development and deployment of document intelligence models, LLM-based data extraction frameworks, and automation pipelines to improve efficiency and accuracy.
- Serve as an individual contributor, deeply involved in solution design, model development, and deployment.
- Potentially transition into a team leadership role as the AI portfolio grows and solutions scale across functions.
- Apply advanced AI expertise and banking domain knowledge to deliver impactful, production-grade solutions for onboarding and KYC processes.
Job Responsibilities
- Deliver production-grade AI solutions for document understanding and onboarding automation.
- Build and deploy LLM-powered extraction and summarization frameworks for unstructured documents.
- Achieve measurable improvements in accuracy, turnaround time (TAT), and operational efficiency.
- Develop reusable AI modules and APIs to enable rapid adoption across operations functions.
- Lead and expand a specialized AI team as solution scale and business demand increase.
- Design, implement, and optimize AI models and algorithms for diverse business applications.
- Collaborate with stakeholders to gather requirements and translate them into effective AI solutions.
- Analyze large datasets to extract actionable insights and support data-driven decisions.
- Ensure all AI initiatives comply with data privacy, governance, and ethical standards.
- Monitor and maintain model performance, retraining as needed to ensure reliability.
- Drive innovation by exploring emerging AI frameworks and technologies for continuous improvement.
Required Qualifications, Capabilities, and Skills
- Atleast4 years of experience in AI/ML, with at least 4 years in NLP, Document AI, or Generative AI.
- Strong foundation in machine learning and deep learning algorithms (classification, clustering, entity extraction, semantic similarity).
- Hands-on experience with TensorFlow or PyTorch, scikit-learn, HuggingFace Transformers, and spaCy.
- Proven expertise in building document intelligence solutions (classification, OCR, key-value extraction, summarization).
- Proficiency in Python, SQL, Pandas, and experience with data ingestion and preprocessing pipelines.
- Experience deploying AI models to production, including lifecycle management and monitoring.
- Skilled in FastAPI or Flask, Docker, CI/CD, and API integration.
- Strong experience with LLM-driven workflows, prompt engineering, RAG, and LLM fine-tuning.
- Familiarity with OCR tools (Tesseract, Amazon Textract, Azure Form Recognizer, or Google Document AI).
- Demonstrated ability to drive AI solution design and deployment independently.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
Preferred Qualifications, Capabilities, and Skills
- Experience in banking client onboarding, KYC/AML, and document verification processes.
- Familiarity with corporate onboarding documentation and regulatory compliance in BFSI or regulated domains.
- Experience with multimodal document models (LayoutLMv3, Donut, DocFormer) and advanced NER/entity linking.
- Integration experience with OpenAI, Anthropic, Cohere, or open-source LLMs (LLaMA, Mistral).
- Knowledge of data privacy, governance, and AI explainability frameworks in financial services.
- Track record of cross-functional collaboration with operations, data engineering, and low-code teams.
- Ph.D. or advanced specialization in AI or related field.
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 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.
Skills Required
- At least 4 years of experience in AI or machine learning, including NLP, Document AI, or Generative AI experience
- Strong foundation in machine learning and deep learning algorithms, including classification, clustering, entity extraction, and semantic similarity
- Hands-on experience with TensorFlow or PyTorch, scikit-learn, HuggingFace Transformers, and spaCy
- Experience building document intelligence solutions, including classification, OCR, key-value extraction, and summarization
- Proficiency in Python, SQL, and Pandas, with experience in data ingestion and preprocessing pipelines
- Experience deploying AI models to production, including lifecycle management and monitoring
- Experience with FastAPI or Flask, Docker, CI/CD, and API integration
- Experience with LLM-driven workflows, prompt engineering, RAG, and LLM fine-tuning
- Familiarity with OCR tools such as Tesseract, Amazon Textract, Azure Form Recognizer, or Google Document AI
- Ability to independently drive AI solution design and deployment
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
- Experience with banking client onboarding, KYC/AML, and document verification processes
- Familiarity with corporate onboarding documentation and regulatory compliance in BFSI or regulated domains
- Experience with multimodal document models such as LayoutLMv3, Donut, or DocFormer and advanced NER/entity linking
- Integration experience with OpenAI, Anthropic, Cohere, or open-source LLMs such as LLaMA and Mistral
- Knowledge of data privacy, governance, and AI explainability frameworks in financial services
- Cross-functional collaboration experience with operations, data engineering, and low-code teams
- Ph.D. or advanced specialization in AI or a related field
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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