AI Engineer 5 (GenAI Platform, Agentic Infrastructure)
Capital One1 day ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$251k - $286k/yr
Responsibilities
- Design, develop, test, deploy, and support AI software components for foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, governance, experimentation, and observability.
- Optimize foundation model training and inference systems for scalability, cost, latency, throughput, and hardware utilization.
- Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Lead cost-performance governance reviews covering GPU utilization, model throughput, and inference cost efficiency.
- Contribute to the technical vision and long-term roadmap of foundational AI systems.
- Lead design councils and review boards to ensure technical consistency and compliance with AI engineering standards.
- Mentor Principal- and Manager-level AI engineers and collaborate with cross-functional engineering, research, product, and program teams.
Requirements
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least six years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of these fields plus at least four years of such experience.
- At least six years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading AI system development with tradeoffs involving cost, latency, throughput, and accuracy.
- Seven years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience developing complex AI systems, LLM inference, similarity search, vector databases, guardrails, memory, agentic systems, and agentic workflows.
- Experience optimizing training and inference software, right-sizing models and infrastructure, and balancing model performance with operational cost.
- Experience architecting unified production pipelines that combine rule-based, retrieval-augmented, and generative components.
- Experience defining and enforcing ethical AI deployment standards involving explainability, fairness, and human-in-the-loop review.
- Preferred programming experience includes Python, C++, C#, Java, CUDA, or Golang.
- Strong communication and presentation skills, including the ability to explain complex AI concepts.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- The role is eligible for performance-based incentive compensation, including potential cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The listed annual base salary ranges vary by location: $229,900–$262,400 in Cambridge and McLean, and $250,800–$286,200 in New York, San Francisco, and San Jose.
Categories
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.