ExecutivePlacements.com
Distinguished AI Engineer
ExecutivePlacements.com, Washington, District of Columbia, us, 20022
Overview
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, we have been an industry leader in using machine learning to create real‑time, personalized customer experiences. Our investments in technology infrastructure and world‑class talent, along with our deep experience in machine learning, position us at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML bring humanity and simplicity to banking. We are committed to building world‑class applied science and engineering teams to deliver our industry‑leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure.
Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI to life. We work hand‑in‑hand with partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that are central to our business and deliver value to millions of customers.
In This Role
Partner with cross‑functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how 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, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
Build systems, take pride in quality of work, and share our passion to do the right thing.
Passion for staying abreast of the latest research, with the ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
Adapt quickly, thrive on bringing clarity to big, undefined problems, ask questions, dig deep, articulate findings concisely, and share new ideas even when unproven.
Technical depth: strong foundation in engineering and mathematics, expertise in hardware, software, and AI to exploit optimization opportunities.
Resilient trailblazer 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 with at least 8 years of experience developing AI and ML algorithms or technologies; or Master’s degree with 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).
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 AI and ML algorithms or technologies (e.g., LLM inference, similarity search, 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 systems, and applying novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Compensation Cambridge, MA: $263,900 – $301,200 (Distinguished AI Engineer)
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
Benefits & Perks Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your overall well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full‑time/part‑time status, exempt or non‑exempt status, and management level. This role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.
Equal Employment Opportunity Statement 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. We consider qualified applicants with a criminal history in a manner consistent with applicable laws.
Work Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI to life. We work hand‑in‑hand with partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions that are central to our business and deliver value to millions of customers.
In This Role
Partner with cross‑functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how 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, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of large‑scale production AI systems.
Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.
The Ideal Candidate
Build systems, take pride in quality of work, and share our passion to do the right thing.
Passion for staying abreast of the latest research, with the ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
Adapt quickly, thrive on bringing clarity to big, undefined problems, ask questions, dig deep, articulate findings concisely, and share new ideas even when unproven.
Technical depth: strong foundation in engineering and mathematics, expertise in hardware, software, and AI to exploit optimization opportunities.
Resilient trailblazer 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 with at least 8 years of experience developing AI and ML algorithms or technologies; or Master’s degree with 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).
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 AI and ML algorithms or technologies (e.g., LLM inference, similarity search, 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 systems, and applying novel techniques in production.
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Compensation Cambridge, MA: $263,900 – $301,200 (Distinguished AI Engineer)
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
Benefits & Perks Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your overall well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full‑time/part‑time status, exempt or non‑exempt status, and management level. This role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.
Equal Employment Opportunity Statement 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. We consider qualified applicants with a criminal history in a manner consistent with applicable laws.
Work Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
#J-18808-Ljbffr