AI Architect, Strategist
Ascend Technologies
AzureITSMRPAServiceNow
Director, Distinguished AI Engineer
Capital One
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $239,900 - $273,800 per year
Job Level
Lead
Tech Stack
AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala
About the role
- 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies
- At least 8 years of experience programming with Python, Go, Scala, or Java
- 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
- Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
- 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
- Master's degree in Computer Science, Computer Engineering, or relevant technical field
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI algorithmsML algorithmsPythonGoScalaJavaC++C#large language model inferencesimilarity search
Soft skills
leadershipmentoringcommunicationpresentationinfluencing stakeholders
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in AIMaster's degree in Computer ScienceMaster's degree in Computer Engineering
