Senior Lead Software Engineer, Python/AWS/AI/LLM

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 70 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $199k

$158k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $176,625–$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 · Senior Lead Software Engineer, Python/AWS/AI/LLM

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As a Senior Lead Software Engineer - Python/AWS/AI/LLM within the Asset Wealth Management team, you will join an agile team to build and deliver secure, scalable technology products. You will provide technical guidance to teams and vendors while developing high-quality production code and reviewing others' work. Your role involves designing data processing pipelines, deploying model inference services, and implementing lighthouse ML and LLM-powered solutions in public cloud infrastructure. You will drive the adoption of AI-assisted engineering practices and advocate for firmwide SDLC tools. Key technical requirements include advanced Python programming, deep knowledge of Data Structures, Algorithms, Machine Learning, and Statistics. You must possess expert knowledge of AWS, experience with LLMs like OpenAI or Anthropic, and proficiency in SQL and NoSQL stores such as Postgres, OpenSearch, and Redis to solve complex business problems.

Skills

Python AWS LLM Machine Learning AI SQL NoSQL OpenSearch Redis Kubernetes Data Processing Pipelines SDLC Algorithms Data Structures Statistics Information Retrieval

What you'll do

Develop secure, high-quality production code while reviewing and debugging code written by others.
Architect and implement lighthouse machine learning and LLM-powered solutions.
Design and implement scalable data processing pipelines and deploy model inference services.
Productionize high-quality machine learning models and platforms within public cloud infrastructure.
Drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed.
Provide technical guidance and direction to business teams, contractors, and vendors.
Establish measurable validation standards for secure coding, peer review, and automated testing.
Serve as a subject matter expert to influence product design and technical operations.

What we're looking for

Formal training or certification in software engineering concepts.
5+ years of applied experience in software engineering.
Advanced programming skills in Python and deep knowledge of data structures, algorithms, and statistics.
Expert knowledge of AWS cloud computing platforms.
Experience using LLMs to solve business problems including tracing, evaluations, and guardrails.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools.
Strong understanding of responsible AI use, including data sensitivity and secure handling of inputs/outputs.
Proven leadership capacity and ability to communicate with senior technical and business partners.

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