Model Guardrails

Model Guardrails Engineer Jobs

2 jobs found

30d ago

Lead AI Engineer (Vision model customization, VLM)

Capital One McLean, VA

McLean, VA

30d ago Closed

$197k - $225k/yr Full time Manager Artificial Intelligence Automation

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Lead AI Engineer role focused on vision model customization and VLM, building responsible, reliable AI systems end to end.

Responsibilities

Work with a cross-functional group of 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 production workflows, including:
- Foundation model training
- Large language model inference
- Similarity search and vector database applications
- Guardrails
- Model evaluation
- Experimentation, governance, and observability
- Additional related AI components
Build using a mix of open source and SaaS AI technology, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
Develop and introduce state-of-the-art LLM optimization methods to improve scalability, cost, latency, and throughput for large-scale production AI systems.
Help shape the technical direction and long-term roadmap for foundational AI systems.

Requirements

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 2 years of experience developing AI and ML algorithms or technologies.
At least 4 years of programming experience with Python, Go, Scala, or Java.

Technologies

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

Benefits

Performance-based incentive compensation, potentially including cash bonus(es) and/or long-term incentives (LTI).
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.

Preferred Qualifications

6 years of experience 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, or Golang.
Experience developing and applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost.
Interest in staying current with AI research and AI systems, with a focus on applying novel techniques in production.

Location: McLean, VA 22101 (onsite)

Compensation: USD 197,300 - 225,100 per year

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1mo ago

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

Capital One McLean, VA

McLean, VA

1mo ago Closed

$230k - $262k/yr Full time Ai Ml Ai Platform Artificial Intelligence

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

Capital One is seeking a Sr. Lead AI Engineer focused on inference optimization, foundation model hosting, and AI platform development, onsite in McLean, VA, with a salary range of USD 229,900 to 262,400 per year.

Responsibilities

Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how associates work and how customers engage with Capital One.
Design, build, 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.
Develop 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 the long term roadmap of foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor an engineering team and influence cross functional stakeholders
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, 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 AI systems, and judiciously apply novel techniques in production
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java
C++
C#
Golang

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well being.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Overview

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

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 res

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 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 with clarity. You have the courage to share new ideas even when they are unproven.
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable 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.

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Model Guardrails Engineer Jobs

Lead AI Engineer (Vision model customization, VLM)

Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

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