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Lead Engineer - AI

One of the largest retail healthcare business support organizations in the U.S., supporting healthcare professionals across dental care, urgent care, medical aesthetics, and animal health.
$170,000 - $200,000
Machine Learning
Staff Software Engineer
In-Person
1,000 - 5,000 Employees
8+ years of experience
AI · Healthcare

Description For Lead Engineer - AI

The Aspen Group (TAG), a leading retail healthcare business support organization, is seeking a Lead Engineer focused on Enterprise AI to drive their AI-driven innovation initiatives. This role combines technical leadership with hands-on engineering, focusing on developing advanced AI applications across various learning paradigms. The position requires expertise in modern AI systems, LLM-based architectures, and software engineering.

The role involves building and scaling multi-agent systems, implementing distributed training pipelines, and developing production-grade AI solutions using Vertex AI and cloud-native technologies. The successful candidate will lead the full AI/ML lifecycle, from experimentation to deployment, while focusing on creating reusable AI components that accelerate enterprise-wide innovation.

Candidates should possess a PhD or Master's degree in a relevant field, with 8+ years of experience in AI/ML engineering. Strong expertise in Python, LLM orchestration frameworks, and modern AI architectures is essential. The position offers competitive compensation ($170,000-$200,000) and comprehensive benefits.

This opportunity is ideal for a visionary technical leader who can combine deep AI expertise with practical engineering skills to deliver scalable, intelligent systems for healthcare applications. The role offers the chance to shape the future of AI in healthcare while working with a company that supports over 20,000 healthcare professionals across 48 states.

Last updated 3 days ago

Responsibilities For Lead Engineer - AI

  • Develop and scale multi-agent systems leveraging LLMs
  • Optimize agents for knowledge grounding, multi-step reasoning, and decision-making
  • Translate high-level designs into detailed solutions
  • Lead the full AI/ML lifecycle
  • Design and implement distributed training pipelines
  • Develop scalable, production-grade AI fabric using Vertex AI
  • Implement intelligent observability and automation strategies
  • Focus on developing reusable AI components

Requirements For Lead Engineer - AI

Python
  • PhD or Master's degree in Computer Science, AI/ML, or related technical field
  • 8+ years of experience in AI/ML engineering, software engineering, or platform architecture
  • Proven track record of building and deploying production-grade AI/ML systems at scale
  • Deep understanding of modern AI model architectures
  • Strong hands-on experience with Vertex AI
  • Proficiency in Python and experience with LLM orchestration frameworks
  • Expertise in distributed training, online inference, and low latency serving

Benefits For Lead Engineer - AI

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Paid time off
  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with match

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