AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
Capital One1 day ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$251k - $286k/yr
Responsibilities
- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software for foundation-model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Use AI technologies including AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
- Develop foundation-model optimization techniques that improve scalability, cost, latency, throughput, and hardware utilization.
- Contribute to the technical vision and long-term roadmap for foundational AI systems.
- 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.
- Lead design councils and review boards to ensure technical consistency and compliance with AI engineering standards.
- Mentor Principal- and Manager-level AI engineers.
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 experience.
- At least 6 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience leading AI-system development with tradeoffs involving cost, latency, throughput, and accuracy.
- Preferred experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience developing complex AI systems, LLM inference, similarity search, vector databases, guardrails, memory, and agentic AI workflows.
- Experience optimizing training and inference software and applying model compression, dynamic inference, and model right-sizing techniques.
- Experience architecting heterogeneous AI systems using rule-based, retrieval-augmented, and generative components.
- Experience defining ethical AI standards involving explainability, fairness, and human-in-the-loop review.
- Strong communication and presentation skills, including the ability to explain complex AI concepts.
Benefits
- Capital One offers a comprehensive benefits package covering health, financial, and other well-being benefits, with eligibility varying by employment and management status.
- The role is eligible for performance-based incentive compensation, including potential cash bonuses and/or long-term incentives.
- The posted full-time annual salary ranges are location-dependent: $229,900-$262,400 in McLean and Cambridge, 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.