Distinguished AI Engineer

Job Title: Distinguished AI Engineer Company: Capital One Job Category: Machine Learning Roles & Responsibilities: In this role, you will: * Partner with a cross\-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI\-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evals engine, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state\-of\-the\-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Devise novel context generation techniques that optimize cost / quality trade\-offs. * Design and implement capabilities for automated monitoring, anomaly detection and RCA for multi\-turn and headless agentic applications. * You will collaborate with lines of businesses to design and implement high value agentic applications * Finally you will coach and evangelize, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences. Preferred Qualifications: * 10\+ years of experience deploying scalable and responsible solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 4\+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * 6\+ years of experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C\+\+, C\#, Java, or Golang * 2\+ years of experience with Agentic frameworks (LangChain, CrewAI, AutoGen etc.) * 2\+ years of experience leading GenAI or LLM\-Powered application architectures in production * 2\+ years of experience developing and applying state\-of\-the\-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 2\+ years of experience with Observability and Evals for agentic applications * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Demonstrated ability to lead and mentor multiple engineering teams and influence cross\-functional stakeholders up to the VP level * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Master’s or Ph.D in Computer Science, Computer Engineering, especially in AI/ML areas. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Work Location: Bengaluru, Karnataka, India Availability: Full time

Basic Qualifications: * Bachelor's degree in Computer Science, Electrical Engineering or Computer Engineering * 3 years of experience developing AI and ML algorithms or technologies * 3 years of experience programming with Python, Go, Scala, or Java At this time, Capital One will not sponsor a new applicant for employment authorization for this position.* No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non\-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug\-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23\-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901\-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Capital One does not provide, endorse nor guarantee and is not liable for third\-party products, services, educational tools or other information available through this site. Key Skills: Machine Learning, Python, PyTorch, Model Training Salary: Not disclosed