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.