Lead AI Engineer (Vision model customization, VLM)

Lead AI Engineer role focused on vision model customization and VLM, building responsible, reliable AI systems end to end.

Responsibilities

• Work with a cross-functional group of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers.
• Design, develop, test, deploy, and support AI software components across production workflows, including:
  • Foundation model training
  • Large language model inference
  • Similarity search and vector database applications
  • Guardrails
  • Model evaluation
  • Experimentation, governance, and observability
  • Additional related AI components
• Build using a mix of open source and SaaS AI technology, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
• Develop and introduce state-of-the-art LLM optimization methods to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• Help shape the technical direction and long-term roadmap for foundational AI systems.

Requirements

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree plus at least 2 years of experience developing AI and ML algorithms or technologies.
• At least 4 years of programming experience with Python, Go, Scala, or Java.

Technologies

• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• Python, Go, Scala, Java
• C++, C#, Golang
• AWS, Google Cloud, Azure

Benefits

• Performance-based incentive compensation, potentially including cash bonus(es) and/or long-term incentives (LTI).
• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.

Preferred Qualifications

• 6 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, delivering, and supporting AI services.
• 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 optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost.
• Interest in staying current with AI research and AI systems, with a focus on applying novel techniques in production.

Location: McLean, VA 22101 (onsite)

Compensation: USD 197,300 - 225,100 per year