Staff AI Architect for Production Agentic Systems

Modernizing Medicine

Boca Raton (FL)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
401(k) match
Paid time off & parental leave
Life & disability benefits
FSAs
Professional development
Hybrid/remote options
Dog-friendly HQ
Catered meals

Job summary

Modernizing Medicine is seeking a Staff AI Engineer to define and drive the architecture of AI and agentic systems across multiple teams and product domains. This senior IC role shapes multi-agent orchestration, production RAG, tool and MCP integration, and the observability stack, while mentoring senior engineers and representing AI engineering in strategic initiatives.

The role emphasizes shipping production agentic AI capabilities, with a background in classical ML as an asset.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Software Engineering, or a related field.
  • 10+ years of professional experience in ML/AI or software engineering, including 4+ years in senior or staff-level roles with production system ownership.
  • Demonstrated engineering leadership, including driving technical strategy and influencing cross-team decisions.
  • Expertise in platform and distributed-systems architecture at scale: model serving, APIs, data platforms, and AI/LLM infrastructure.
  • Hands-on experience architecting and operating production agentic AI or LLM systems (multi-agent workflows, production RAG, tool and MCP integration).
  • Deep understanding of embedding models, retrieval algorithms, and vector database internals.
  • Strong production debugging, reliability, and incident-response skills.
  • Experience building rigorous evaluation for non-deterministic AI systems, including statistical methods (such as bootstrap confidence intervals and minimum effect-size thresholds) to separate genuine quality changes from run-to-run model variance
  • Cost-awareness for cloud AI/LLM workloads: capacity planning and cost optimization
  • Proven mentorship of mid-level and senior engineers.
  • Strong communication skills for executive and cross-functional audiences.

Responsibilities

  • Define and drive technical direction for AI and agentic systems, and contribute to the AI platform roadmap across teams
  • Influence architecture decisions for compute, cloud, and AI infrastructure across teams
  • Lead the design of large-scale AI/LLM systems: inference platforms, APIs, and distributed architectures
  • Architect production multi-agent systems end-to-end: orchestration, state management, tool integration, and failure handling
  • Define and drive best practices and standards for AI/LLM systems across teams (agent design, evaluation, observability, reliability)
  • Lead complex production debugging and incident response across teams, and harden the resulting fixes into platform guardrails
  • Mentor senior engineers and emerging technical leaders, raising the engineering bar
  • Lead technical design reviews and architecture decision records (ADRs) for critical AI infrastructure
  • Contribute to capacity planning and cost optimization strategies for AI/LLM infrastructure

Skills

ML/AI engineering
Distributed systems
Leadership
Production systems
Executive communication
Mentorship
Cost optimization

Education

Master’s or Ph.D. in CS/SE or related field
10+ years in ML/AI or software engineering
4+ years in senior or staff roles

Tools

Model Context Protocol (MCP)
LLM platforms
Inference platforms

Job description

Modernizing Medicine is seeking a Staff AI Engineer to define and drive the architecture of AI and agentic systems across multiple teams and product domains. This senior IC role shapes multi-agent orchestration, production RAG, tool and MCP integration, and the observability stack, while mentoring senior engineers and representing AI engineering in strategic initiatives.

The role emphasizes shipping production agentic AI capabilities, with a background in classical ML as an asset.

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