Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services) - job post
$229,900 – $286,200 USD
Tech Stack
Responsibilities
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Soft Skills
Team LeadershipMentoringCross-Functional CollaborationWritten Communication
Benefits
- Health Insurance
- 401k
- Dental
- Vision
- Life Insurance
- Disability Insurance
- HSA/FSA
- Mental Health
Culture
Cross-Functional TeamsCustomer-Obsessed
Requirements
Required: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Regions: Us
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About Capital One
Industry: fintech
Size: enterprise
Capital One is a financial services company seeking to transform its technology space by building innovative solutions and meeting customer needs, particularly in their travel product offerings.
View company profile →Compensation
Base salary: $229,900 – $286,200 USD
Bonus: performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)