AI/ ML Software Engineer II at JPMC Candidate Experience page

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Technology, Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, Python, Data Integration, Real-Time Data Processing, Cloud Platforms, Marketing, Campaign Testing, Quality Metrics, Customer Experience, Algorithm Design, Trend Analysis

Industry

Financial Services

Description

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability. Job Responsibilities: Define the AI‑driven validation roadmap across Business Banking. Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels. Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations. Partner with Marketing, , Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub‑LOBs. Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices. Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings. Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives. Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes. Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience. Required qualifications, capabilities and skills: Formal training or certification in Software Engineering concepts and 1+ years applied experience Experience of Gen AI builds, Agents, and MCP. Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in languages such as Python, R, or Java. Ability to design and implement complex algorithms for recommendation systems and trend analysis. Experience in data integration and real-time data processing. Understanding of marketing and campaign testing processes. Preferred Qualifications: Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience of all LLM models and their capabilities Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Prior experience in credit card marketing and in-market testing. Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies. Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Responsibilities

The role involves defining the AI-driven validation roadmap and architecting AI checks into workflows. Additionally, the engineer will build AI/ML models and partner with various teams to operationalize AI capabilities.