Senior AI Engineer

Veit•Rogers, MN

8d•$116,000 - $157,500•Onsite

About The Position

The Senior AI Engineer serves as a technical lead in designing, developing, testing, deploying, and supporting AI-based solutions that deliver measurable business value. The role guides solution design, development standards, responsible AI practices, technology selection, and implementation approaches. It partners with internal teams and external technology partners to deliver secure, scalable, and reliable solutions that translate business needs into practical technical outcomes. The engineer works with business and technical stakeholders to define use cases, develop scalable solutions, prepare and operationalize data, and ensure reliable deployment and support. The role also supports governance and security controls for AI solutions, documents designs and operational guidance, evaluates tools and cloud capabilities, and keeps current with AI technologies and engineering practices. It acts as a liaison between IT and business teams and contributes to cross-departmental system design, development, and data integration initiatives. The position is primarily performed in a typical office environment, with occasional jobsite travel. Jobsite conditions may include uneven terrain, stairs or ladders, variable weather, noise, dust, and moving equipment. Required personal protective equipment must be worn as directed. Physical activities include frequent communication, extended periods sitting or standing, computer use for more than 50% of the time, navigating office floors, attending off-site meetings or events, and lifting up to 35 pounds unassisted. Base compensation is $116,000–$157,500, subject to geographic location, skills, and relevant experience. Full-time employees receive a comprehensive benefits package.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field; an associate degree with relevant experience; or an equivalent combination of education and professional experience.
Minimum of 7 years of software development, process automation, data engineering, or related technical experience.
At least 3 years of experience developing and implementing AI-based solutions deployed and used in production environments.
Strong software development experience, including the ability to design, build, test, and support robust technical solutions.
Experience with AI/ML, generative AI, natural language processing, or intelligent automation solutions.
Experience monitoring and conducting due diligence on advanced technologies and recommending technologies aligned with strategic plans and the technology roadmap.
Ability to lead technical workstreams and collaborate effectively across teams and stakeholder groups.
Experience developing and supporting API-based integrations using SOAP and REST.
Strong analytical, troubleshooting, problem-solving, written communication, and verbal communication skills, including the ability to work with technical and non-technical stakeholders.
Ability to manage multiple priorities in a fast-paced and evolving technology environment.
Customer-focused mindset, strong interpersonal skills, and a collaborative approach.

Nice To Haves

Experience with Microsoft Synapse and/or Fabric analytics platforms.
Familiarity with Microsoft Teams and SharePoint.
Experience with Microsoft 365 applications.
Experience with SQL development.

Responsibilities

Lead technical design, development, testing, deployment, and ongoing support of AI-based solutions, including intelligent applications and AI agents.
Provide technical guidance across AI projects by establishing solution architecture, development standards, best practices, and implementation approaches.
Collaborate with business and technical stakeholders to define use cases, translate requirements into scalable AI solutions, and ensure successful delivery.
Partner with the Data and Analytics team to identify, prepare, and operationalize data for AI models and intelligent workflows.
Work with IT Infrastructure to ensure AI solutions are deployed in reliable, scalable, and maintainable environments.
Coordinate with Security to help implement monitoring, governance, and control mechanisms, including controls for AI agents, model behavior, access, and data protection.
Support requirements gathering and solution alignment with the requirements management team and cross-functional subject matter experts.
Evaluate and integrate appropriate tools, frameworks, and cloud capabilities to improve solution performance, maintainability, and security.
Collaborate with specialized technology partners to accelerate delivery, validate architecture decisions, and implement best practices.
Document solution designs, technical decisions, operational support guidance, system and integration documentation, and technical standards.
Stay current on emerging AI technologies, engineering practices, and governance considerations, and recommend practical improvements.
Act as a liaison between IT and business teams to ensure solutions support business needs.
Provide technical guidance and recommendations to business stakeholders regarding system capabilities and best practices.
Participate in cross-departmental initiatives requiring system design and development or data integration.
Perform other duties as assigned by the Sr. Director of Information Technology & Systems.