AI Engineer - Senior Lead Software Engineer

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Employment
Full-time
Posted
55 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $189k
$129k $246k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,600–$222,625.

Based on 240 similar postings.

Employer

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · AI Engineer - Senior Lead Software Engineer

As a Senior Lead Software Engineer within the AI/ML Data Platforms team, you will join an agile team focused on building and delivering trusted, market-leading technology products. You will provide engineering leadership to design and deliver agentic AI platforms and large language model-enabled services for enterprise use cases. Your daily responsibilities include developing production-grade code, driving architecture decisions, and building cloud-native services on AWS using containers and serverless architectures. You will implement retrieval-augmented generation solutions involving embeddings and semantic search. Key technical requirements include Python engineering skills, PyTorch or TensorFlow, and expertise in vector storage systems. You will also manage MLOps practices, including CI/CD, monitoring, and model governance, while ensuring responsible AI practices and operational excellence within a regulated environment.

What you'll do

  • Build and operate production-grade LLM applications, including agentic patterns and tool integrations for enterprise use cases.
  • Design and deliver cloud-native services on AWS using containers and serverless architectures.
  • Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search, and context engineering.
  • Develop secure production code and lead code reviews to improve overall engineering quality.
  • Drive architecture and design decisions that influence product functionality and technical operations.
  • Evaluate and introduce leading-edge technologies by providing risk/benefit analysis to decision-makers.
  • Drive adoption and governance of AI-assisted engineering practices to improve code quality and delivery speed.
  • Provide technical guidance to business and engineering teams to align priorities and unblock delivery.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Strong Python engineering skills with experience using PyTorch or TensorFlow.
  • Expertise in vector storage systems and designing memory for agents.
  • Expertise in developing long-running autonomous agents using tools, skills, and human-in-the-loop.
  • Proven experience deploying LLM-backed services (APIs, microservices) to production.
  • Deep MLOps experience including CI/CD, monitoring, incident response, and model governance.
  • Cloud-native AI deployment experience on AWS or Azure with cost and performance optimization.
  • Experience with fine-tuning, adapters, prompt engineering, or LLM orchestration (preferred).

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