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Today

AI engineer

WRITER New York, NY

New York, NY

Today

$198k - $259k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

WRITER is building enterprise generative AI that delivers real production impact. In this hybrid role in New York, NY, you will architect and deploy high-performance AI applications and intelligent, data-grounded agents for WRITER’s enterprise platform. You’ll work on scalable systems, collaborate with cross-functional partners, and help maintain strong responsible AI practices for large language models.

What you’ll do

Architect, develop, and deploy high-performance, scalable AI applications into production, ensuring reliable integrations with the end-to-end platform.
Build intelligent agents and AI-powered features, turning complex research into practical capabilities for customers.
Collaborate with research scientists, data scientists, and product managers to define technical requirements and deliver features tied to critical business needs.
Support the research and evaluation of emerging AI technologies, frameworks, and tools to help keep pace in the enterprise generative AI space.
Champion responsible AI, including bias detection, explainability, and safety alignment, so AI outcomes are trustworthy and ethical.

What you bring

5+ years of professional experience building and deploying machine learning or AI systems in production.
Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX.
A solid foundation in machine learning, deep learning architectures, and natural language processing, especially with large language models.
Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for managing the AI lifecycle.
Ability to write clean, efficient, and well-tested code for scalable software systems.
Exceptional problem-solving skills and a strong interest in tackling complex technical challenges with creative AI solutions.
You Connect by collaborating across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.

Tools you’ll use

Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure

Benefits

Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options, and 401k

Compensation: USD 198,000 - 259,000 per year.

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Today

Sr. Staff AI Engineer

Capital One McLean, VA

McLean, VA

Today

$315k - $359k/yr Full time Senior Agents & Multi Agent Systems Artificial Intelligence

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Job Description

The Sr. Staff AI Engineer role at Capital One focuses on designing and delivering responsible, reliable AI platform capabilities that support both internal associate workflows and customer experiences.

Role Overview

You will help build scalable AI software components spanning foundation model training and large language model inference, along with agents and multi-agent workflows. The work also includes model evaluation, governance, and observability to support safe and dependable deployment.

Onsite Location

McLean, VA (onsite)

Compensation

USD 314,800 - 359,300 per year

Cambridge, MA: $314,800 - $359,300
McLean, VA: $314,800 - $359,300
New York, NY: $343,400 - $392,000
Richmond, VA: $286,200 - $326,700
San Francisco, CA: $343,400 - $392,000
San Jose, CA: $343,400 - $392,000

Responsibilities

Partner with cross-functional teams including 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 across foundation model training, LLM 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.
Introduce advanced foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production systems.
Contribute to the technical vision and long-term roadmap for foundational AI systems within Capital One.
Define and guide technical AI architecture by integrating applied research breakthroughs into production ecosystems with reliability and scale.
Establish AI performance, safety, and transparency standards that guide model development and deployment company-wide.
Lead multi-year platform initiatives that unify data, compute, and model lifecycle management within a cohesive enterprise AI architecture.
Mentor senior technical leaders across research, data, and engineering to develop the next generation of AI technical leadership.

Required Qualifications

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

Preferred Qualifications

Experience architecting AI platforms with tradeoff decisions across cost, latency, throughput, and accuracy.
9 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 SVP level.
Experience developing AI and ML algorithms or technologies (including LLM inference, similarity search and VectorDBs, guardrails, and memory) using Python, C++, C#, Java, CUDA, 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.
Experience building agentic AI systems and agentic workflows.
Excellent communication and presentation skills, including the ability to articulate complex AI concepts to peers.
Recognition as an 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 in collaboration 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 for requirements such as context length, token inputs, and token outputs.

Technology Stack

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

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting your total well-being.

Incentive Compensation

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Eligibility depends on full-time or part-time status, exempt or non-exempt status, and management level.

Additional Information

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Applications are expected to be accepted 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 does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site, and is not liable for them.

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AI engineer

Sr. Staff AI Engineer

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