AI Engineer 5 (SDK's: Gen AI Evaluation and MCP)
Capital One2 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$230k - $286k/yr
Responsibilities
- Design, develop, test, deploy, and support AI software components for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Invent and apply foundation-model optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization.
- Lead cost-performance governance reviews covering GPU utilization, model throughput, and inference cost efficiency.
- Lead design councils and review boards to ensure technical consistency and compliance with AI engineering standards.
- Contribute to the technical vision and long-term roadmap for foundational AI systems.
- Mentor Principal- and Manager-level AI engineers and promote cross-domain technical learning.
Requirements
- Bachelor's 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 master's degree in one of these fields plus at least 4 years of such experience.
- At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading AI system development with tradeoffs among cost, latency, throughput, and accuracy.
- Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience designing, developing, delivering, and supporting complex AI systems.
- Experience with LLM inference, similarity search, vector databases, guardrails, memory, agentic AI systems, and agentic workflows.
- Experience optimizing training and inference software and right-sizing models, instances, and hardware types.
- Experience architecting heterogeneous AI systems and defining standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review.
- Strong technical, mathematical, communication, and presentation skills, with the ability to apply current AI research in production.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role accepts applications for a minimum of 5 business days.
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.