AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
Capital One1 day 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 AI components for foundation-model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop optimization techniques and multi-model orchestration pipelines to improve AI-system scalability, cost, latency, throughput, and hardware utilization.
- Integrate LLMs, vector search, and domain-specific models into unified production systems.
- Lead cost-performance governance reviews tracking GPU utilization, model throughput, and inference cost efficiency.
- Contribute to the technical vision and roadmap for foundational AI systems.
- Lead design councils and review boards to maintain technical consistency and AI engineering compliance 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 relevant 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 environments.
- Experience developing complex AI systems, agentic AI systems, multi-model orchestration, LLM inference, similarity search, VectorDBs, guardrails, and memory systems.
- Experience optimizing AI training and inference software, right-sizing models and infrastructure, and balancing model performance with operational cost.
- Experience architecting rule-based, retrieval-augmented, and generative components into unified production pipelines.
- Experience defining ethical AI deployment standards involving explainability, fairness, and human-in-the-loop review.
- Strong communication and presentation skills, research awareness, and the ability to apply novel AI techniques in production.
Benefits
- Comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
- Full-time annual base salary ranges from $229,900-$262,400 in McLean and Cambridge and $250,800-$286,200 in New York, San Francisco, and San Jose; other locations use location-specific ranges.
- Eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Applications are expected to remain open for at least 5 business days.
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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.