Senior AI Systems Architect for Enterprise Agentic AI

Burtch Works

United States

Remote

USD 180,000 - 260,000

Full time

5 days ago
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Job summary

Burtch Works is seeking a Senior / Distinguished Architect for AI Systems and Agentic AI to lead hands-on system design and prototyping across the company’s platform. You will work directly with AI leadership and cross-functional teams to advance enterprise AI capabilities.

The role emphasizes deep technical expertise across AI generations, from traditional ML to foundation models, with a focus on safe, scalable, and observable systems.

Qualifications

  • 15+ years of deep software engineering experience designing, building and scaling enterprise platforms.
  • Strong foundation in ML/DL, foundation models, agents and AI systems.
  • Deep technical capability with practical impact beyond publications.

Responsibilities

  • Architect AI systems and agentic infrastructure for enterprise platforms.
  • Lead integration of AI models with enterprise data and semantic layers.
  • Advance time-series, embeddings, anomaly detection, probabilistic modeling, and causal inference.
  • Create reusable abstractions and patterns for safe, high-performing AI solutions.
  • Establish rigorous evaluation, benchmarking, and ROI-focused validation.
  • Collaborate with product, engineering, data, and field teams across the company.
  • Maintain hands-on coding, prototyping and experiments while guiding teams.

Skills

AI/ML breadth
System design
Research-to-production
Collaborative leadership

Education

Bachelor's in CS/ML/Statistics or related
PhD preferred

Job description

Burtch Works is seeking a Senior / Distinguished Architect for AI Systems and Agentic AI to lead hands-on system design and prototyping across the company’s platform. You will work directly with AI leadership and cross-functional teams to advance enterprise AI capabilities.

The role emphasizes deep technical expertise across AI generations, from traditional ML to foundation models, with a focus on safe, scalable, and observable systems.

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