AI Engineer: Gen AI Evaluation & MCP

Salary: $229,900 - 286,200 per year Requirements:

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Masters degree in one of these fields plus at least 4 years of experience
• At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience leading AI system development with tradeoff decisions around cost, latency, throughput, and accuracy
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments
• Experience designing, developing, delivering, and supporting complex AI systems
• Experience building AI and ML algorithms or technologies such as LLM inference, similarity search, VectorDBs, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang
• Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and agentic workflows
• Strong communication and presentation skills, with the ability to explain 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
• 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 based on requirements such as context length, token inputs, and token outputs

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with us
• Design, build, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Use Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, PyTorch, and similar tools
• Develop and introduce advanced foundation model optimization techniques to improve scalability, cost, latency, and throughput in large-scale production AI systems
• Contribute to the technical vision and long-term roadmap for foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines that combine LLMs, vector search, and domain-specific models into unified systems
• Lead cost-performance governance reviews across AI systems by tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to maintain technical consistency and alignment with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and help raise organizational technical maturity

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning
• MCP

More:

We are Capital One, where we are building responsible and reliable AI systems to transform banking. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and deliver proprietary solutions that create value for millions of customers. This role offers the chance to shape foundational AI platforms and product experiences at scale, with opportunities for performance-based incentive compensation and a comprehensive, competitive, and inclusive benefits package supporting overall well-being. We are hiring for multiple locations, including Cambridge, MA; McLean, VA; New York, NY; San Francisco, CA; and San Jose, CA, with salary ranges varying by location.

last updated 40 week of 2026