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 Staff 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:
- BS in Computer Science, or related technology field or equivalent experience.
- 2+ years of experience in Agentic AI engineering.
- 4+ years of experience in AI/ML engineering
- 8+ years of experience in software engineering, or platform engineering
- Proven track record of building and deploying production-grade AI/ML systems at scale.
- Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design.
- Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google’s Agentic AI stack.
- Hands-on with one or more of these agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen.
- Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows.
- Expertise in distributed training, online inference, and low latency serving architectures.
- Experience with Kubernetes, Cloud Run, and Dataflow/PubSub for scalable deployment.
Preferred Qualifications:
- Experience with AI governance frameworks and responsible AI practices (Vertex AI Model Monitoring, BigQuery logging, Looker dashboards).
- Contributions to open-source AI projects or publications in leading AI/ML conferences.
- Experience with multi-modal models and advanced optimization strategies & frameworks.
- Experience automating, architecting and governing production grade MLOps infrastructure to scale, optimize, and observe AI workloads.
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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Skills Required
- Bachelor’s degree in Computer Science or a related technology field, or equivalent experience
- 2+ years of experience in Agentic AI engineering
- 4+ years of experience in AI/ML engineering
- 8+ years of experience in software engineering or platform engineering
- Experience building and deploying production-grade AI/ML systems at scale
- Understanding of modern AI model architectures, including transformers and diffusion models
- Hands-on expertise with Vertex AI and Google’s Agentic AI stack
- Experience with an agent orchestration framework such as Google ADK, Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen
- Proficiency in Python, LLM integration workflows, MCP, and A2A orchestration
- Expertise in distributed training, online inference, and low-latency serving architectures
- Experience with Kubernetes, Cloud Run, and Dataflow or Pub/Sub
- Experience with AI governance frameworks and responsible AI practices
- Contributions to open-source AI projects or publications at leading AI/ML conferences
- Experience with multimodal models and advanced optimization strategies or frameworks
- Experience architecting and governing production-grade MLOps infrastructure
TAG - The Aspen Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TAG - The Aspen Group and has not been reviewed or approved by TAG - The Aspen Group.
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Healthcare Strength — Multiple medical plan choices with defined costs, HSA support, and accessible plan documents indicate a robust health offering. Distinctive features like GLP‑1 coverage on the HSA plan and clear SBCs add clarity for election decisions.
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Retirement Support — A clearly outlined 401(k) program features an immediately vested employer match with explicit eligibility timing. Consistent references to the plan and enrollment resources across brand sites underscore ease of access.
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Affordable Benefits — Dental-care discounts through the Aspen Dental network—free preventive services and reduced rates for procedures—help lower out‑of‑pocket costs. Additional perks like brand discounts and pet insurance can further stretch total value for some roles.
TAG - The Aspen Group Insights
What We Do
When we helped launch Aspen Dental, we set out to break down the barriers that made it hard for patients to keep up with their dental health — affordability, transparency, and access. We knew the key to better patient care started with the provider, so we changed how the dental business worked. We built new relationships, expertise, and tools to help dentists run their businesses more effectively and better care for their patients. Fast forward, and over 25 years later, we support more than 1000 Aspen Dental locations—by doing so, we are proud to say we have changed access to dental care nationwide. But there’s more work to do. Healthier, happier smiles were just our beginning. We came together to launch TAG – The Aspen Group, officially expanding beyond dental and embracing a new vision. By bringing together Aspen Dental, Chapter, ClearChoice, WellNow, and Lovet into one family of brands, we set out to achieve one simple goal together: to bring better healthcare to more people - because we believe in a future where health and wellness is accessible for all. With that mission in mind, TAG now supports over 5,300 clinicians across more than 1,400 locations. While our vision is now broader, how we achieve it remains the same. The best care starts with the provider - and TAG exists to power them so they can meet patients where they are, no matter their specialty, and deliver better care. Because we know that at the end of the day, better healthcare is simple — empower the provider and their teams, and the rest will follow. United as one group, we’re not just breaking down barriers; today, we’re breaking through. We’re challenging the status quo. Together, we can prove healthcare can be better for both providers and patients. Together, we can bring better healthcare to more people.
Why Work With Us
TAG - The Aspen Group employs and/or supports over 25,000 healthcare professionals and team members at more than 1,400 health and wellness offices across 46 states in four distinct categories: Dental care, urgent care, medical aesthetics, and animal health. Every day we wake up to empower providers to do what they do best: focus on the patient.
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