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As of Aug 28, 2026, the average yearly pay for software application trainer in the United States is $65,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $81,500.00 per year, depending on experience, location, and employer.

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Software Application Trainer jobs near you
A map of the United States highlighting the number of Software Application Trainer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Software Application Trainer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Senior Lead Software Engineer -AI

JPMorgan Chase & Co.

Columbus, OH • On-site

$120 - $150/hr

Other

Re-posted 2 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 172 rated banks

Job description

Job Responsibilities
  • Develops complex and scalable frameworks using appropriate software design, including durable and reusable frameworks leveraged across teams and functions.
  • Develops secure and high-quality production code, and reviews and debug code written by others; engineers systems with clear failure modes, retry strategies, and robust operational behavior.
  • Leads cross-functional teams on technological matters within domain of expertise while acting as the function’s go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies,including pragmatic AI engineering practices.
  • Builds and maintains evaluation and quality mechanisms to detect regressions, measure specification/acceptance-criteria compliance, and surface behavior changes across model or dependency updates.
  • Influences leaders and senior stakeholders across business, product, and technology teams
Qualifications
  • Formal training or certification on software engineering concepts and 7+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficient in one or more programming language(s)(e.g., Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines).
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines(including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints).
  • Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g.,cloud, artificial intelligence / applied LLM systems, machine learning, mobile, etc.).
  • Experience with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or homegrown) and clear opinions on their tradeoffs.
  • Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management).
  • Ability to present and effectively communicate with Senior Leaders and Executives
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