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4 jobs found

Today

AI Engineer 4

Capital One New York, NY

New York, NY

Today

$215k - $246k/yr Full time Agents Ai Ml Artificial Intelligence

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Job Description

Capital One is hiring an AI Engineer 4 in New York, NY (onsite) to build and deploy responsible, scalable AI systems for banking experiences.

Responsibilities

Work with cross-functional teams (engineers, research scientists, technical program managers, and product managers) to deliver AI-powered products for associates and customers
Design, develop, test, deploy, and support AI software components, including:
- foundation model training
- large language model inference
- agents and multi-agent workflows
- similarity search
- guardrails
- model evaluation
- experimentation
- governance
- observability
Use open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, and VectorDBs, along with PyTorch and other tools
Develop state-of-the-art foundation model optimization methods to improve production performance across scalability, cost, latency, and throughput
Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One
Own end-to-end architecture for complex AI systems with focus on maintainability, observability, and ethical alignment
Define and maintain service-level objectives (SLOs) for AI reliability, covering latency, uptime, and model performance drift
Partner with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
Lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance standards are met
Mentor Principal and Senior Associates on scalable design, performance tuning, and translating research into production

Requirements

Education + experience:
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years developing AI and ML algorithms or technologies; or
- Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years developing AI and ML algorithms or technologies
Programming: at least 4 years of experience with Python, Go, Scala, CUDA, or Java
AI/ML development: at least 4 years of experience developing AI and ML algorithms or technologies

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
Python
Go
Scala
CUDA
Java
Google Cloud
Azure
C++
C#
Golang
GPU/TPU

Benefits

Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being

Preferred Qualifications

Experience leading development of AI systems with tradeoffs among cost, latency, throughput, and accuracy
6+ years deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang
Experience building and applying state-of-the-art optimization techniques for training and inference to improve hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and agentic workflows
Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

Salary: USD 215,200 - 245,600 per year

Location: New York, NY (onsite)

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Today

Staff AI Engineer

Capital One New York, NY 🇺🇸 Remote

New York, NY

Today

$245k - $279k/yr Full time Agents Ai Ml Artificial Intelligence

Apply Now

Job Description

The Staff AI Engineer role at Capital One is available in New York, NY with remote eligibility. The position focuses on building and deploying responsible, scalable enterprise AI systems across foundation model training, LLM inference, agents, evaluation, governance, and observability, with technical leadership for AI architecture and model orchestration.

Key Responsibilities

Work with a cross-functional group of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how 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, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Apply a broad stack of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Develop state-of-the-art foundation model optimization approaches to improve production performance across scalability, cost, latency, and throughput.
Help define the technical vision and long-term roadmap for foundational AI systems at Capital One.
Set enterprise-wide technical direction for AI architecture, including unifying tooling, observability, and deployment standards across teams.
Own the design and integration of model routing, caching, and orchestration systems supporting hybrid and multi-model workloads.
Apply responsible AI principles across system design, with attention to transparency, reproducibility, and fairness-by-design.
Support internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds.

Required 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 in a related field plus at least 6 years of experience developing AI and ML algorithms or technologies.
At least 8 years of programming experience with Python, Go, Scala, CUDA, or Java.

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
Python
Go
Scala
CUDA
Java

Preferred Qualifications

Experience designing AI systems with tradeoffs across cost, latency, throughput, and accuracy.
8+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
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 (for example, LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Experience building agentic AI systems and agentic workflows.
Excellent communication and presentation skills for explaining complex AI concepts to peers.
Proven track record defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability, and evaluation frameworks.
Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance, and compute efficiency.
Demonstrated success influencing research-to-production promotion processes, including model handoff, evaluation, and productization.
Experience defining north-star metrics for AI systems balancing business value, innovation velocity, cost, and ethical responsibility.
Experience right-sizing models, instance counts, and hardware types given requirements such as context length and token inputs/outputs.

Team Overview

The Intelligent Foundations and Experiences (IFX) team is responsible for bringing Capital One’s AI vision to life. The team partners with colleagues across the company to advance state-of-the-art science and AI engineering and to build and deploy proprietary solutions central to the business. Its AI models and platforms help teams across Capital One enhance products with responsible and scalable AI for high-leverage impact.

Benefits

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Comprehensive, competitive, and inclusive health, financial, and other benefits that support total well-being.

Remote Eligibility and Location-Based Salary

Remote (regardless of location): USD 244,700 - 279,200 for Staff AI Engineer
Cambridge, MA: USD 269,100 - 307,200 for Staff AI Engineer
McLean, VA: USD 269,100 - 307,200 for Staff AI Engineer
New York, NY: USD 293,600 - 335,100 for Staff AI Engineer
San Francisco, CA: USD 293,600 - 335,100 for Staff AI Engineer
San Jose, CA: USD 293,600 - 335,100 for Staff AI Engineer

Additional Notes

Capital One is open to hiring a Remote Employee for this opportunity.
Capital One may consider sponsoring a new qualified applicant for employment authorization for this position.
Applications are expected to accept for a minimum of 5 business days.
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.
For technical support or questions about Capital One’s recruiting process, email Careers@capitalone.com.

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11d ago

Sr. Staff AI Engineer

Capital One McLean, VA

McLean, VA

11d ago

$315k - $359k/yr Full time Senior Agents Ai Engineer

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Job Description

Capital One is building foundational AI capabilities that help associates work more effectively and enable customers to interact with confidence. As a Sr. Staff AI Engineer in McLean, VA (onsite), you will design, develop, deploy, and support AI software components and foundational AI systems spanning training and inference, agent workflows, search, guardrails, evaluation, governance, observability, and long-term AI platform architecture.

Responsibilities

Collaborate with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how associates work and how customers engage with Capital One.
Design, build, test, deploy, and maintain AI software components such as foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Apply a broad toolkit of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Introduce state-of-the-art foundation model optimization techniques to improve production performance including scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
Define and steer the AI architecture vision by integrating applied research breakthroughs into production ecosystems with reliability and scale.
Lead the establishment of AI performance, safety, and transparency standards that guide model development and deployment across the company.
Drive multi-year platform initiatives that unify data, compute, and model lifecycle management under a cohesive enterprise AI architecture.
Mentor senior technical leaders across research, data, and engineering disciplines to develop the next generation of Capital One’s AI technical leadership.

Requirements

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 8 years in the same area.
At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java.

Preferred Qualifications

Experience architecting AI platforms with tradeoffs around cost, latency, throughput, and accuracy.
9 years of experience deploying scalable and responsible AI solutions on cloud platforms such as 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 SVP level.
Experience developing and applying AI/ML technologies (for example: LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Experience building agentic AI systems and agentic workflows.
Strong communication and presentation skills to articulate complex AI concepts.
Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership.
Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance.
Experience driving organization-wide adoption of AI safety, alignment, and governance standards with policy, risk, and legal teams.
Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact.
Experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.
Passion for staying abreast of AI research and judiciously applying novel techniques in production.

Salary and Incentives

USD 314,800 - 359,300 per year for the McLean, VA location.

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives may be discretionary or non-discretionary depending on the plan.

Employment Details

Capital One may consider sponsoring a new qualified applicant for employment authorization for this position.
Expected minimum application window: 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE), committed to non-discrimination in compliance with applicable federal, state, and local laws, including disability and veteran status.
Capital One promotes a drug-free workplace.

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11d ago

AI Engineer 3

Capital One San Jose, CA

San Jose, CA

11d ago

$177k - $201k/yr Full time Agents Ai Engineer Artificial Intelligence

Apply Now

Job Description

Capital One is hiring an AI Engineer 3 in San Jose, CA (onsite) to help build responsible and scalable AI systems. This role focuses on foundation model training, LLM inference, agent workflows, evaluation, governance, and observability, with cross-functional collaboration to deliver AI-powered products.

Key Responsibilities

Partner with a cross-functional team across engineering, research science, technical program management, and product to deliver AI-powered products that support how associates work and how customers engage with Capital One.
Design, develop, test, deploy, and support AI software components across foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Apply a broad stack of AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch, along with additional Open Source and SaaS tools.
Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in production AI systems.
Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.
Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, with measurable performance and safety metrics.
Implement scalable pipelines for training, fine-tuning, and deploying foundation or domain-specific models across multiple environments.
Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies.
Support governance and security initiatives for model traceability, lineage documentation, and version control of deployed AI assets.
Mentor junior AI engineers and promote engineering excellence, reproducibility, and responsible experimentation.

Required Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 3 years of experience developing AI/ML algorithms or technologies; or a Master's degree in a related field plus at least 1 year of experience developing AI/ML algorithms or technologies.
At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
Python, Go, Scala, CUDA, Java
Google Cloud, Azure
C++, C#, Golang
AWS
Retrieval-augmented generation (RAG)

Team Description

The Intelligent Foundations and Experiences (IFX) team is central to delivering Capital One's AI vision. The team partners across the company to advance science and AI engineering, and builds and deploys proprietary solutions that support business value for millions of customers. Its AI models and platforms enable teams across Capital One to enhance products with responsible, scalable AI for high leverage impact.

Benefits

Comprehensive, competitive, and inclusive health, financial, and other benefits supporting overall well-being.
Performance based incentive compensation eligibility, which may include cash bonuses and/or long term incentives (LTI).

Workplace and Process Statements

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salary ranges for this role by location include: San Jose, CA: $176,500 - $201,400.
This role is eligible for performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
This role is expected to accept applications for a minimum of 5 business days.
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.
Capital One will consider applicants with a criminal history in a manner consistent with applicable laws.
If you need an accommodation, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com.
For technical support or questions about the recruiting process, email Careers@capitalone.com.
Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site.
Capital One Financial is made up of several entities; posting location may correspond to different entities (e.g., Canada, United Kingdom, Philippines).

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