Lead Software Engineer, Cloud AI Engineer

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Plano, TX
Posted: 28 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $207k

$187k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$222,000.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Cloud AI Engineer

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As a Lead Software Engineer - Cloud/AI Engineer within the Corporate Sector - Data Visualization & BI team, you will serve as a core technical contributor in an agile environment. You will design, build, and deploy enterprise-grade AI solutions, including Retrieval-Augmented Generation pipelines, agentic systems, and LLM-powered workflows while managing production concerns like scalability, cost, and hallucination mitigation. Your daily work involves utilizing AI-powered coding assistants such as GitHub Copilot or Claude to write, debug, and refactor code. The role requires proficiency in Python, Django, React, and Terraform for infrastructure-as-code on AWS. You will also leverage tools like LangChain, LlamaIndex, and vector databases like Pinecone or Weaviate. This position focuses on solving complex technical challenges by integrating advanced AI capabilities into stable, secure, and scalable data visualization and business intelligence products.

Skills

Python AWS Terraform Django React RAG LLM LangChain LlamaIndex CrewAI Pinecone Weaviate pgvector Chroma Databricks CI/CD GitHub Copilot Claude Data Engineering

What you'll do

Utilize AI-powered coding assistants for daily development tasks including writing, reviewing, debugging, and refactoring code.
Design, build, and deploy enterprise-grade AI solutions such as RAG pipelines and agentic systems.
Architect AI systems with production-level considerations like scalability, cost management, latency, and hallucination mitigation.
Develop secure, high-quality production code while troubleshooting complex technical issues beyond conventional approaches.
Apply systems thinking to manage end-to-end component connectivity and identify automation opportunities for operational stability.
Lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical feasibility.
Influence stakeholders and drive alignment across teams to own project outcomes from end-to-end.

What we're looking for

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Demonstrated fluency with AI-assisted development tools like GitHub Copilot, Claude Code, or Cursor for daily use.
Hands-on experience building AI/ML-powered features including RAG systems, AI agents, prompt engineering, or LLM integration.
3+ years of hands-on experience with AWS cloud services.
Proficiency in Python programming and experience with Django or another web backend framework.
Experience with React or another modern UI framework.
Strong experience with Terraform and infrastructure-as-code principles.
Solid understanding of system design, data structures, and algorithms.
Experience with AI orchestration frameworks (LangChain, LlamaIndex, CrewAI, Google ADK, or similar) (preferred).
Experience with vector databases and embedding models (preferred).
Understanding of LLM evaluation, guardrails, and responsible AI practices (preferred).
Exposure to Data Engineering tools and platforms, especially Databricks (preferred).
Familiarity with CI/CD pipelines and DevOps practices (preferred).
Knowledge of other cloud platforms like Azure or GCP (preferred).

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