Enterprise AI Engineering Lead - Secure & Scalable

Madison-Davis, LLC

Pasadena (CA)

On-site

USD 180,000 - 260,000

Full time

13 days ago

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Job summary

Madison-Davis, LLC is seeking an AI Engineering Lead to establish and scale enterprise AI capabilities. The role combines hands-on engineering with technical leadership, focusing on designing, building, and deploying secure AI solutions that drive business transformation.

The candidate will shape AI engineering standards, develop production applications, and collaborate with technical and business teams to deliver scalable AI solutions in a regulated environment.

Qualifications

  • 10+ years of software engineering, data engineering, or AI experience.
  • Experience with APIs, microservices, and distributed systems.
  • Azure experience including Azure OpenAI and Databricks.
  • Experience with RAG, vector databases, embeddings, and LLM workflows.
  • Understanding of AI governance and security practices.
  • Experience in regulated industries.

Responsibilities

  • Design and build enterprise AI applications.
  • Develop RAG solutions and agentic AI workflows.
  • Build scalable APIs and cloud-native services.
  • Create AI engineering standards and deployment practices.
  • Partner with security, compliance, and business teams.
  • Evaluate AI platforms and emerging technologies.
  • Support AI governance and responsible AI practices.
  • Mentor engineers and influence future AI capabilities.

Skills

Software engineering
Data engineering
AI
APIs & microservices
LLMs
RAG
Vector databases
Embeddings
LLM workflows
Security governance

Tools

Azure OpenAI
Databricks

Job description

Madison-Davis, LLC is seeking an AI Engineering Lead to establish and scale enterprise AI capabilities. The role combines hands-on engineering with technical leadership, focusing on designing, building, and deploying secure AI solutions that drive business transformation.

The candidate will shape AI engineering standards, develop production applications, and collaborate with technical and business teams to deliver scalable AI solutions in a regulated environment.

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+2