AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
Capital One2 days ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$251k - $286k/yr
Responsibilities
- Design, develop, test, deploy, and support AI software components for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, 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 and track 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 compliance with AI engineering standards.
- Mentor Principal- and Manager-level AI engineers and foster cross-domain technical learning.
- Partner with engineering, research, technical program management, and product teams to deliver AI-powered products.
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 among cost, latency, throughput, and accuracy.
- Preferred experience deploying scalable and responsible AI solutions on cloud platforms, including seven or more years of cloud AI experience.
- Experience designing, delivering, and supporting complex AI systems and optimizing training and inference software.
- Experience building agentic AI systems, agentic workflows, and heterogeneous production pipelines.
- Experience with LLM inference, similarity search, vector databases, guardrails, memory, model compression, dynamic inference strategies, and model right-sizing.
- Experience defining ethical AI deployment standards involving explainability, fairness, and human-in-the-loop review.
- Strong communication and presentation skills, research awareness, engineering and mathematical foundations, and the ability to address ambiguous technical problems.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Applications are expected to remain open for a minimum of five business days.
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.