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Senior Lead AI Engineer; AI Foundations, LLM Core and Agentic AI

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Capital One
Full Time, Part Time position
Listed on 2025-11-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
* At least 6 years of experience programming with Python, Go, Scala, or Java
* 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
* Experience designing, developing, integrating, delivering, and supporting complex AI systems
* Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and Vector

DBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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Position Requirements
10+ Years work experience
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