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Sr Lead Software Engineer - Artificial Intelligence

JPM*** · Plano, TX, United States
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Plano, TX, United StatesRemote
Remuneration
Not specified
Location
Plano, TX, United States
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Job summary

JOB DESCRIPTION Build and operate the AI toolchain that is accelerating mainframe modernization at scale. As an Sr Lead Software Engineer within Core Processing, Wealth Management Technology, you will design, build, and ship the agentic systems that ingest decades of mainframe logic and produce verified, production-ready modern services.

Benefits

And programs to meet employee needs, based on eligibility.Additional details about total compensation andWill be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bringWe are an equal opportunity employer and place a high value on diversity and incVisit our FAQs for more information about requesting an accommodation.Equal Opportunity Employer/Disability/VeteransABOUT THE TEAMWe're proud to lead the U.In credit card sales and deposit growth and have the most-used digital solutions

Qualifications

  • You are a builder first: comfortable architecting multi-agent orchestration one day and debugging a prompt chain against production edge cases the next.
  • You have deep proficiency extending and operating coding agents (Claude Code, Codex, Copilot), and you bring the engineering rigor to make AI outputs reliable at enterprise scale.
  • Capabilities, and

Responsibilities

  • Develops agentic workflows for code translation and migration — Design, implement, and iterate on multi-agent systems that translate legacy logic into target-state code (Kotlin/JVM).
  • Build orchestration layers, tool-use patterns, and guardrails that ensure output correctness for financial calculations.
  • Builds evaluation and verification infrastructure — Create automated test harnesses that compare migrated calculation outputs against legacy results.
  • Implement parity testing frameworks, regression suites, and confidence scoring to gate production cutover decisions.
  • Contributes to the standard calculation runtime — Help build and extend the target platform that migrated calculations deploy into.
  • Ensure the runtime supports deterministic, immutable, auditable execution.
  • Operates AI systems in production — Own LLMOps for the toolchain: deployment, monitoring, cost management, latency optimization, token budget management, and incident response.
  • Ensure reliability and compliance for 24/7 operation.
  • Iterates rapidly and ships continuously — Work in tight build-measure-learn cycles.
  • Prototype quickly, instrument everything, and make data-driven decisions about agent architectures, model selection, and prompt strategies.
  • Contributes to shared tooling and infrastructure — Build reusable libraries, evaluation harnesses, prompt templates, and orchestration patterns that scale AI capabilities across all four core processing domains.
  • Required

Skills

Leadership

Degrees

AssociateMaster

Work schedule

24/7

Industry

AutomotiveBankingHealthcare

Company size

EnterpriseSmb