AI/ML Lead Engineer, VP - Cloud ML & LLM Solutions

Socket.dev

Wilmington (DE)

On-site

USD 190,000 - 270,000

Full time

4 days ago
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Benefits offered by this job

Health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support
Equity incentives

Job summary

JPMorgan Chase & Co. is recruiting an AI Engineering Lead VP to drive hands-on development of AI/ML solutions for Asset & Wealth Management.

You will lead architecture, data pipelines, and production deployment across AWS/Azure, collaborating with global teams to deliver high-impact technology for Private Bank clients. The role emphasizes leadership, architecture, security, and modern AI techniques; remote and on-site options may apply in a dynamic, startup-like environment within a premier

Qualifications

  • MS in Computer Science, Statistics, Mathematics, or Machine Learning with 7+ years of development experience, incl. 4+ years on AI solutions.
  • Experience using LLMs (OpenAI, Anthropic, or others) to solve business problems with full workflow toolset.
  • Strong Python programming skills and knowledge of data structures, algorithms, ML, data mining, IR, stats.

Responsibilities

  • Collaborate with firmwide AI/ML teams, Business and Product Partners, and dispersed teams to drive alignment and adoption of AI capabilities.
  • Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions.
  • Design and deploy scalable data pipelines and model inference services.

Skills

Python
LLMs
Data structures
Algorithms
End-to-end design
Leadership

Education

MS in CS

Tools

AWS
Azure
PostgreSQL
OpenSearch
Redis
Next.js
TypeScript
Kubernetes

Job description

JPMorgan Chase & Co. is recruiting an AI Engineering Lead VP to drive hands-on development of AI/ML solutions for Asset & Wealth Management.

You will lead architecture, data pipelines, and production deployment across AWS/Azure, collaborating with global teams to deliver high-impact technology for Private Bank clients. The role emphasizes leadership, architecture, security, and modern AI techniques; remote and on-site options may apply in a dynamic, startup-like environment within a premier

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