- Company Name
- Capital One
- Job Title
- Senior Lead AI Engineer (AI Foundations)
- Job Description
-
**Job Title:** Senior Lead AI Engineer (AI Foundations)
**Role Summary:**
Leads the design, development, and deployment of foundational AI systems, including large language model training, inference, similarity search, and model governance. Works with cross‑functional engineers, research scientists, product and program managers to deliver scalable, responsible AI solutions that improve customer and associate experiences. Provides technical vision, optimizes performance, and mentors engineering teams.
**Expectations:**
- Demonstrate deep expertise in AI/ML engineering and mathematics.
- Translate cutting‑edge research into production‑ready systems.
- Drive architectural decisions and long‑term roadmaps for AI infrastructure.
- Lead, mentor, and influence engineering and cross‑functional stakeholders.
- Communicate complex AI concepts clearly to technical and non‑technical audiences.
**Key Responsibilities:**
- Design, develop, test, deploy, and support AI software components (foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability).
- Optimize large‑scale AI systems for scalability, cost, latency, and throughput using state‑of‑the‑art techniques.
- Leverage open‑source and SaaS AI technologies (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, NVIDIA NeMo, PyTorch).
- Contribute to technical vision and roadmap for foundational AI platforms.
- Collaborate with engineers, research scientists, product managers, and program managers to deliver AI‑powered products.
- Mentor engineering team members and foster best practices in responsible AI.
**Required Skills:**
- 6+ years (or 4+ with Master’s) developing AI/ML algorithms and technologies.
- Proficient in Python and at least one of Go, Scala, Java, C++, or C#.
- Experience building and deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure, or private cloud).
- Expertise in LLM inference, similarity search, VectorDBs, AI guardrails, and memory architectures.
- Strong background in performance optimization of training/inference pipelines (hardware utilization, latency, throughput, cost).
- Ability to read, interpret, and apply AI research papers.
- Excellent communication and presentation skills.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field **and** ≥6 years relevant experience, **or**
- Master’s degree in the above fields **and** ≥4 years relevant experience.
- No specific certifications required; cloud platform experience preferred.
Fredericksburg, United states
On site
Senior
05-01-2026