Artificial Intelligence/Machine Learning Engineer - Darwin AI at BizTech Fusion | Austin, Texas | Rezi

Artificial Intelligence/Machine Learning Engineer - Darwin AI at BizTech Fusion

Artificial Intelligence/Machine Learning Engineer - Darwin AI

BizTech Fusion · Austin, Texas

1 weeks ago

Artificial Intelligence/Machine Learning Engineer - Darwin AI

BizTech Fusion · Austin, Texas

13 days ago
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About the Role

Darwin AI is seeking an experienced Artificial Intelligence/Machine Learning Engineer to deploy and manage the Darwin AI inventory and monitoring system. This role involves assisting with the configuration, rollout, and documentation of the system, as well as supporting the implementation and testing of AI agents. The engineer will also develop technical controls, documentation, and processes for AI governance adoption. The position is crucial for advancing DPS's objectives in enterprise search, AI deployment, AI agent development, and AI governance.

Responsibilities

  • Deploying the AI inventory and monitoring system (Darwin).
  • Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.
  • Building and deploying components of the enterprise search tool.
  • Supporting implementation and testing of AI agents aligned to business unit needs.
  • Developing technical controls, documentation, and processes required for AI governance adoption.

Requirements

  • Only US Citizens Workable Due to Nature of the Job

Location

  • Austin, Texas

Work Type

  • Onsite

Experience Level

  • 10+ Years Overall Experience
  • Minimum 2+ Years deploying the AI inventory and monitoring system (Darwin)
  • Minimum 2+ Years assisting with the configuration, rollout, and documentation of the Darwin AI inventory system

About the Company

  • DPS is simultaneously advancing four major objectives: Implementing an enterprise search solution to improve information retrieval across DPS systems.
  • Deploying the AI inventory and monitoring system (Darwin).
  • Developing and operationalizing various AI agents to improve internal efficiency and public facing services.
  • Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.