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Lead AI Engineer

Job in Saint Paul, Ramsey County, Minnesota, 55101, USA
Listing for: Insight Global
Full Time position
Listed on 2026-08-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below

Lead AI Engineer

The client is seeking a Lead AI Engineer to help design, build, operationalize, and scale enterprise AI solutions supporting b2b platforms/applications. This individual will serve as a senior technical contributor responsible for developing production-grade AI applications, orchestrating agentic workflows, and collaborating closely with business and technical stakeholders to deliver measurable business outcomes. The ideal candidate combines strong software engineering fundamentals with hands-on experience building AI-powered applications, LLM solutions, conversational AI systems, and multi-agent architectures.

Responsibilities

  • AI Solution Design & Development
  • Architect and build end-to-end AI solutions utilizing LLMs, Agentic AI, and conversational AI technologies.
  • Design and implement multi-agent and orchestrated AI workflows.
  • Develop AI-powered applications that leverage structured and unstructured data sources.
  • Build scalable APIs and services supporting AI products.
  • Production Ownership
  • Own the full AI application lifecycle from design through deployment and monitoring.
  • Establish observability, performance monitoring, and model health practices.
  • Manage model evaluation, drift detection, and continuous improvement processes.
  • Ensure AI solutions meet security and governance requirements.
  • Leadership & Collaboration
  • Partner with business stakeholders to understand use cases and translate them into technical solutions.
  • Collaborate with engineers, data scientists, architects, and product teams.
  • Mentor team members and contribute to AI best practices.
  • Help drive adoption of AI capabilities across the organization.
  • Technical Innovation
  • Evaluate emerging AI technologies and frameworks.
  • Establish standards for agentic AI development and deployment.
  • Support experimentation, prototyping, and proof-of-concepts.
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