AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations)
$230k - $262k • New York, NY • Full-time
Posted 24d ago
About the job
Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform how associates work and customers interact with the bank. The team builds and deploys proprietary AI solutions, leveraging advanced science and engineering to enhance products and deliver value to millions of customers. You will contribute to the development of scalable, high-performance AI infrastructure and reimagine customer service through emerging AI capabilities.
Responsibilities
- Partner with engineers, research scientists, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents, guardrails, and model evaluation.
- Leverage Open Source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve performance (scalability, cost, latency, throughput) of large-scale AI systems.
- Contribute to the technical vision and roadmap of foundational AI systems.
- Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Establish and lead cost-performance governance reviews for AI systems, tracking GPU utilization, model throughput, and inference cost efficiency.
- Lead team design councils to ensure technical consistency and compliance with AI engineering standards.
- Mentor 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 in AI/ML algorithm development, OR Master's degree plus at least 4 years of experience.
- At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading development of AI systems with trade-offs in cost, latency, throughput, and accuracy.
- 7+ years of experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure, or private cloud).
- Experience designing, developing, delivering, and supporting complex AI systems.
- Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (e.g., LLM Inference, Similarity Search, VectorDBs, Guardrails, Memory).
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software.
- Experience in building agentic AI systems and agentic workflows.
- Passion for staying abreast of the latest AI research and applying novel techniques in production.
- Excellent communication and presentation skills to articulate complex AI concepts.
- Experience architecting and integrating heterogeneous AI systems into unified production pipelines.
- Experience defining and enforcing standards for ethical AI deployment.