Lead AI Engineer

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TAG - The Aspen Group provided pay range

This range is provided by TAG - The Aspen Group. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$170,000.00 / yr - $200,000.00 / yr

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Talent Acquisition Manager @ TAG - The Aspen Group

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories : dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose : to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses : Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

Job Description :

As part of our continued investment in AI-driven innovation, we are looking for a Lead AI Engineer to join our growing AI team. This is a hands-on role delivering innovative solutions for the healthcare enterprise. The ideal candidate will bring deep expertise in modern AI systems, multi-agent systems & frameworks, LLM-based architecture, and software engineering.

Key Responsibilities :

• Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration.
• Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses.
• Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making.
• Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services.
• Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies.
• Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands.
• Partner with cross-functional stakeholders in translating business requirements into technical specifications.
• Own the full AI development lifecycle from data collection and implementation to deployment and monitoring.
• Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale.

Qualifications & Experience :

Preferred Qualifications :

Additional Information :

Annual Salary Range : $170,000-$200,000 / year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.

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