AI Engineer 5 (Gen AI Platform Services - Agentic AI)
Capital One2 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$230k - $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 foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability components.
- 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 maintain technical consistency and AI engineering standards.
- Contribute to the technical vision and long-term roadmap of foundational AI systems.
- 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 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.
- Preferred experience deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud platforms, including seven years of cloud AI experience.
- Experience designing, delivering, and supporting complex AI systems and developing AI/ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory.
- Experience optimizing training and inference software and improving hardware utilization, latency, throughput, and cost.
- Experience building agentic AI systems and workflows.
- Experience architecting unified production pipelines containing rule-based, retrieval-augmented, and generative components.
- Experience defining ethical AI standards involving explainability, fairness, and human-in-the-loop review.
- Ability to balance model performance and operational cost through dynamic inference strategies and model compression.
- Experience right-sizing models, instance counts, and hardware types based on context length, token inputs, and token outputs.
- Strong engineering, mathematics, AI, communication, and presentation skills, with the ability to apply research techniques in production.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
- The role is available in listed U.S. locations, with location-specific annual salary ranges and other locations subject to their applicable pay range.
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.