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Robert Half

AI Consultant

Career Insights for Artificial Intelligence Engineer (General)

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$137,984 / year median in Minnesota

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Job Description

We are looking for an experienced AI Consultant to support a long-term contract opportunity in Shoreview, Minnesota. This role is ideal for a senior software engineering specialist who can design and build AI-driven applications that improve financial operations while working with enterprise data platforms. The consultant will help shape practical AI solutions, align development with organizational standards, and provide technical leadership across new application initiatives.
Responsibilities:
  • Architect and develop AI-enabled applications that streamline financial processes and improve the use of enterprise data across core business systems.
  • Lead the design of agent-based solutions using Microsoft Agent Framework, LangGraph, LangChain, or comparable technologies, with emphasis on scalable and maintainable implementation.
  • Build custom cloud-based AI services, preferably within Azure environments, to deliver business-focused automation and intelligent workflows.
  • Partner with business analysts and technical stakeholders to translate functional needs into dependable software and data solutions.
  • Serve as the primary technical contributor for AI application development within the financial division, guiding solution direction and development standards.
  • Create and optimize data pipelines and integrated datasets that support reporting, analytics, and AI model consumption across varied source systems.
  • Contribute to data architecture efforts involving data warehouses, data lakes, or lakehouse environments to ensure reliable and sustainable data delivery.
  • Support modern engineering practices by applying version control, CI/CD pipelines, automated testing, and DevOps principles throughout the development lifecycle.