Capital One
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
Capital One, San Jose, California, United States, 95199
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
Join to apply for the
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
role at
Capital One .
1 week ago; be among the first 25 applicants.
Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Responsibilities
Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One.
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—scalability, cost, latency, throughput—of large‑scale production AI systems.
Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
Ideal Candidate
You love to build systems, take pride in the quality of your work, and share our passion to do the right thing.
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely.
You are deeply technical with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
You are a resilient trail‑blazer who can forge new paths to achieve business goals when the route is unknown.
Basic Qualifications
Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 6 years of experience.
At least 8 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level.
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 applying novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel, or AutoGen).
2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang.
Salary Cambridge, MA: $263,900 – $301,200 McLean, VA: $263,900 – $301,200 New York, NY: $287,800 – $328,500 San Francisco, CA: $287,800 – $328,500 San Jose, CA: $287,800 – $328,500
Candidates hired to work in other locations will be subject to the pay range associated with that location.
Benefits This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives.
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 Capital One Careers website.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Application This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Equal Opportunity Employer Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Accessibility If you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Contact For technical support or questions about Capital One’s recruiting process, email Careers@capitalone.com.
#J-18808-Ljbffr
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
role at
Capital One .
1 week ago; be among the first 25 applicants.
Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
Responsibilities
Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One.
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—scalability, cost, latency, throughput—of large‑scale production AI systems.
Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
Ideal Candidate
You love to build systems, take pride in the quality of your work, and share our passion to do the right thing.
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely.
You are deeply technical with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
You are a resilient trail‑blazer who can forge new paths to achieve business goals when the route is unknown.
Basic Qualifications
Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 6 years of experience.
At least 8 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level.
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 applying novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel, or AutoGen).
2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang.
Salary Cambridge, MA: $263,900 – $301,200 McLean, VA: $263,900 – $301,200 New York, NY: $287,800 – $328,500 San Francisco, CA: $287,800 – $328,500 San Jose, CA: $287,800 – $328,500
Candidates hired to work in other locations will be subject to the pay range associated with that location.
Benefits This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives.
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 Capital One Careers website.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Application This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Equal Opportunity Employer Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Accessibility If you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Contact For technical support or questions about Capital One’s recruiting process, email Careers@capitalone.com.
#J-18808-Ljbffr