Machine Learning Engineer – Document Digitization (LLMs)-Vice President

Are you passionate about leveraging advanced technology to solve complex

business challenges? As an applied AI/ML, you will have the opportunity to shape

the future of document management through cutting-edge AI and machine learning.

Join a collaborative team where your expertise will drive impactful solutions

and strategic outcomes. This role offers a platform to innovate, lead, and make

a difference across the organization.

As a Machine Learning Engineer – Document Digitization (LLMs)-Vice President in

our organization, you will design, develop, and deploy secure, scalable, and

innovative technology products that transform how documents are processed and

managed. You will use advanced AI and machine learning to extract, analyze, and

manage information, driving strategic business outcomes. You will collaborate

with cross-functional teams, mentor others, and continuously seek opportunities

for improvement and innovation.

Job responsibilities

* Lead the design, development, and integration of AI-powered document

digitization solutions, focusing on extracting information and insights from

diverse document types.

* Manage the end-to-end AI/ML lifecycle: model training, validation,

deployment, monitoring, and continuous improvement in production

environments.

* Employ generative AI, and large language models (LLMs) to automate and

optimize document workflows.

* Build and maintain scalable document digitization pipelines using Python, AI

frameworks, and cloud technologies.

* Provision and manage cloud resources using infrastructure as code tools

(Terraform) and AWS services (SageMaker, Bedrock).

* Ensure scalability, reliability, security, and compliance of AI/ML solutions,

adhering to best practices and governance standards.

* Collaborate with cross-functional teams to reimagine legacy document

processing systems using generative AI and LLMs.

* Develop and maintain dashboards and reporting tools to monitor digitization

accuracy, workflow efficiency, and business impact.

* Mentor junior engineers and promote best practices in AI/ML, software

engineering, and testing.

* Conduct model validation, human-in-the-loop review, and implement continuous

improvement strategies for digitization accuracy.

* Contribute to communities of practice and explore new and emerging

technologies.

Required qualifications, capabilities, and skills

* Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning,

or related field, with relevant industry experience.

* Strong proficiency in Python for building production-grade AI services and

data/document pipelines.

* Strong working proficiency in Java, including building APIs and microservices

with Spring Boot; familiarity with front-end technologies (React.js,

AngularJS) is a plus.

* Hands-on experience delivering LLM-powered/GenAI applications in production

(e.g., document understanding, retrieval-augmented generation, workflow

automation), including evaluation, observability, guardrails, and continuous

improvement.

* Experience with MLOps / LLMOps practices in production environments (CI/CD,

automated testing, deployment strategies, monitoring, incident response).

* Working knowledge of machine learning frameworks (TensorFlow, PyTorch,

Scikit-learn, PyTorch Lightning) with primary emphasis on integrating models

and services into scalable systems (rather than research-heavy model

development).

* Experience with AWS and cloud-native delivery, including SageMaker and/or

Bedrock, containerization (Docker, Kubernetes, Amazon EKS), and

infrastructure as code (Terraform).

* Familiarity with NoSQL / search / graph technologies (Mongo Atlas,

Elasticsearch/OpenSearch, Neo4j) and their use in document search and

knowledge retrieval.

* Experience with agentic coding approaches, autonomous/assisted code agents,

orchestration patterns, and tool-use/agent frameworks to accelerate delivery

of document digitization workflows.

* Strong understanding of SDLC, CI/CD, resiliency, and security practices;

proven problem-solving, communication, and collaboration skills.

* Demonstrated ability to accelerate development using AI technologies while

maintaining engineering rigor (testing, code quality, governance).

Preferred qualifications, capabilities, and skills

* Experience in financial services, especially investment banking or credit

risk operations.

* Expertise in agentic AI frameworks, prompt optimization, evaluation

harnesses, and fine-tuning/parameter-efficient tuning of smaller language

models (SLMs) where appropriate.

* Familiarity with distributed computing, data sharing, and DDP training (nice

to have).

* Experience leading design/code reviews and mentoring teams.

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

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from

finance and risk to human resources and marketing. Our corporate teams are an

essential part of our company, ensuring that we’re setting our businesses,

clients, customers and employees up for success.