# AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) **Company**: Capital One **Experience**: senior **Job type**: full-time **Salary**: $229,900 - $262,400 for AI Engineer 5 (Cambridge, MA and McLean, VA), $250,800 - $286,200 for AI Engineer 5 (New York, NY, San Francisco, CA, and San Jose, CA) **Category**: Engineering **Industry**: Finance **Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/AI-Engineer-5--AI-Foundations--LLM-Customization--Finetuning--Reinforcement-Learning-_R1001032-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b92f6d64-5fe ## Description 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. 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. **Responsibilities:** - 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, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. - Invent and introduce state-of-the-art foundation model optimization techniques to improve the 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. - Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems - Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency - Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards - Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity **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, or a 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, CUDA, or Java **Preferred Qualifications:** - Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy - 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, delivering, and supporting complex AI systems - 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 developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Experience in building agentic AI systems and agentic workflows - 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 - Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines - Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes - Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression - Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) **Salary Information:** - Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 - McLean, VA: $229,900 - $262,400 for AI Engineer 5 - New York, NY: $250,800 - $286,200 for AI Engineer 5 - San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 - San Jose, CA: $250,800 - $286,200 for AI Engineer 5 ## Skills ### Required - Python - Go - Scala - CUDA - Java - AI - ML - LLM Customization - Finetuning - Reinforcement Learning ### Nice to have - Experience leading development AI systems - Experience deploying scalable and responsible AI solutions on cloud platforms - Experience designing, developing, delivering, and supporting complex AI systems - Experience developing AI and ML algorithms or technologies - Experience developing and applying state-of-the-art techniques for optimizing training and inference software --- Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/AI-Engineer-5--AI-Foundations--LLM-Customization--Finetuning--Reinforcement-Learning-_R1001032-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)