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Software Engineer Ai Remote Jobs Near Me

J.P. Morgan

Lead Software Engineer -AI

Columbus, OH · On-site

As a Senior Software Engineer - AI, you will build and ship production-grade, multi-agent AI systems used daily by thousands of engineers. You'll work on an applied AI platform that automates key ...

J.P. Morgan

Lead Software Engineer-AI

Columbus, OH · On-site

As a Senior Software Engineer - AI, you will build and ship production-grade, multi-agent AI systems used daily by thousands of engineers. You'll work on an applied AI platform that automates key ...

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As of Aug 15, 2026, the average yearly pay for software engineer ai remote in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Software Engineer Ai Remote job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Software Engineer Ai Remote job openings in each state, with California having the most at 2 and Alaska the least at 0.

Lead Software Engineer -AI

JPMorgan Chase & Co.

Columbus, OH • On-site

$120 - $160/hr

Other

Re-posted 27 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Job Description

As aSenior Software Engineer — AI, you will build and ship production-grade, multi-agent AI systems used daily by thousands of engineers. You’ll work on an applied AI platform that automates key stages of the software delivery pipeline—from PRD through architecture, implementation, QA, security, and retrospective—at enterprise scale. You will own agent capabilities end-to-end, with a focus onreliability, evaluation, observability, and cost-per-session. This is not a research or data science role—you will engineer production systems that consistently follow specifications.

Job Responsibilities
  • As a Lead Software Engineer in AI with CCB at JPMorgan Chase you will develop 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 anddebugs 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.
  • Understanding of the business including familiarity with JPMC enterprise stack: Cloud Foundry, GKP, Jules CI/CD, TrueCD, Sophia auth.
  • Practical cloud native experience.
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