Senior Applied AI & ML Engineer (LLM/NLP)

JPMorgan Chase; Columbus (OH); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Tuition reimbursement

Financial coaching

Job summary

A leading financial services firm is seeking an experienced Applied AI Engineer-Senior Associate in Columbus, Ohio. In this role, you will apply advanced AI techniques to develop scalable solutions within the Consumer & Community Banking Machine Learning team. Key responsibilities include driving innovation, ensuring model reliability, and guiding technical teams. The ideal candidate will have a strong background in programming, ML frameworks, and experience in building AI agents within a high-growth environment. This role offers competitive compensation and comprehensive benefits.

Qualifications

• Experience in large-scale machine learning solutions based on big data.
• Proven track record of building software and ML platforms in enterprise environments.
• Strong experience with integration of tools (e.g., API) and RAG based solutions.

Responsibilities

• Provide technical guidance for business and technical teams.
• Develop high-quality production code and review others' code.
• Drive innovation in machine learning solutions for complex use cases.
• Architect and develop next-gen machine learning models.

Skills

Technical judgment

Machine learning frameworks

Programming languages (Python, Java)

Infrastructure as code (Terraform, CloudFormation)

Building AI Agents (LangChain, LangGraph, AutoGen)

Education

Undergraduate and master's degrees in Computer Science or similar

Tools

ML Ops tools

Software development pipeline tools (Jenkins, GitLab CI/CD)

Job description

A leading financial services firm is seeking an experienced Applied AI Engineer-Senior Associate in Columbus, Ohio. In this role, you will apply advanced AI techniques to develop scalable solutions within the Consumer & Community Banking Machine Learning team. Key responsibilities include driving innovation, ensuring model reliability, and guiding technical teams. The ideal candidate will have a strong background in programming, ML frameworks, and experience in building AI agents within a high-growth environment. This role offers competitive compensation and comprehensive benefits.