AI Engineer 5 (AI Foundations, LLM Core and Agentic AI)
Capital One2 days ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$230k - $286k/yr
Responsibilities
- Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization.
- Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Lead cost-performance governance reviews tracking GPU utilization, model throughput, and inference cost efficiency.
- Contribute to the technical vision and long-term roadmap for foundational AI systems.
- Lead design councils and review boards to promote technical consistency and AI engineering standards compliance.
- Mentor Principal- and Manager-level AI engineers and elevate organizational technical maturity.
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 relevant 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.
- Experience deploying scalable and responsible AI solutions on cloud platforms, including 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, right-sizing models and infrastructure, and balancing model performance with operational cost.
- Experience architecting heterogeneous AI systems, including rule-based, retrieval-augmented, and generative components, into unified production pipelines.
- Experience defining and enforcing ethical AI deployment standards involving explainability, fairness, and human-in-the-loop review.
- Strong communication and presentation skills, with the ability to explain complex AI concepts to peers.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by full-time or part-time status, exempt or non-exempt status, and management level.
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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.