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iHire · 3 hours ago

AI Engineer

York, PA

Part-time

Onsite

Senior Level, Lead/Staff

$225K/yr - $257K/yr

6+ years exp

Capital One, in partnership with iHire, is seeking a Senior Lead AI Engineer to create responsible and reliable AI systems that transform banking. This role involves collaborating with a diverse team to design and deploy AI software components, leveraging cutting-edge technologies to enhance customer interactions.

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Comp. & Benefits

H1B Sponsored

Responsibilities

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, model evaluation, 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

Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

Qualification

AIML algorithmsPythonCloud platformsLarge language modelsAI optimization techniquesCommunicationTeam leadershipProblem-solving

Required

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies

At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

Experience designing, developing, integrating, delivering, and supporting complex AI systems

Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders

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

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers