Capital One
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
Capital One, Annapolis, Maryland, United States, 21403
Distinguished AI Engineer (Agentic AI Platform Infrastructure)
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has 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 to be 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 are bringing humanity and simplicity to banking. We are committed to continuing to build world‑class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
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.
In this role, you will:
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 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.
The Ideal Candidate
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research and ability to understand scientific publications and 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 findings concisely.
You are deeply technical with a strong foundation in engineering and mathematics, and you can exploit optimization opportunities in hardware, software and AI.
You are a 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 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 developing AI and ML algorithms or technologies.
At least 8 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
8+ years experience deploying scalable and responsible AI solutions on cloud platforms (AWS, GCP, 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 applying novel techniques in production.
Excellent communication and presentation skills, articulating complex AI concepts to peers.
2+ years experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel, AutoGen).
2+ years experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
Experience developing AI and ML algorithms or technologies (LLM Inference, Similarity Search, Guardrails, Memory) 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
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies by full or part‑time status, exempt or non‑exempt status, and management level.
Remuneration This role is eligible to earn performance based incentive compensation (cash bonus(es) and/or long term incentives). Incentives may be discretionary or non discretionary depending on the plan.
Application Notes This role is expected to accept applications for a minimum of 5 business days.
Equal Opportunity Statement No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.
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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.
In this role, you will:
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 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.
The Ideal Candidate
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research and ability to understand scientific publications and 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 findings concisely.
You are deeply technical with a strong foundation in engineering and mathematics, and you can exploit optimization opportunities in hardware, software and AI.
You are a 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 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 developing AI and ML algorithms or technologies.
At least 8 years of experience programming with Python, Go, Scala, or Java.
Preferred Qualifications
8+ years experience deploying scalable and responsible AI solutions on cloud platforms (AWS, GCP, 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 applying novel techniques in production.
Excellent communication and presentation skills, articulating complex AI concepts to peers.
2+ years experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel, AutoGen).
2+ years experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning).
Experience developing AI and ML algorithms or technologies (LLM Inference, Similarity Search, Guardrails, Memory) 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
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies by full or part‑time status, exempt or non‑exempt status, and management level.
Remuneration This role is eligible to earn performance based incentive compensation (cash bonus(es) and/or long term incentives). Incentives may be discretionary or non discretionary depending on the plan.
Application Notes This role is expected to accept applications for a minimum of 5 business days.
Equal Opportunity Statement No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.
#J-18808-Ljbffr