AI Engineer (Hybrid)

14 days ago

St. Paul, MN, USASenior

Base Salary

$72k - $134k/yr

Responsibilities

Champion the selection, evaluation, and lifecycle management of enterprise AI platforms, frameworks, and tools.
Serve as an internal subject matter expert on AI platform architecture, including model lifecycle tooling, containerization, orchestration, vector databases, prompt management, RAG frameworks, and model hosting.
Conduct proof-of-concepts and experiments with emerging AI services, foundation models, and developer tools.
Guide AI delivery teams in solution design and reuse of approved enterprise AI patterns.
Document and coach teams on AI platform standards, best practices, and reference architectures.
Partner with Enterprise Technology to ensure AI platforms are secure, compliant, cost-efficient, and operationally resilient.
Bridge the AI Center of Excellence with other technical platform teams to support knowledge sharing and adoption of shared practices.
Consult with product owners, data scientists, and engineers to identify platform gaps and implement enhancements.
Support platform safeguards, governance controls, and enterprise guidelines for responsible and sustainable AI use.

Strong technical experience across AI, ML, and cloud platform engineering, especially researching, implementing, and onboarding new technologies and tooling.
Hands-on experience with cloud environments, with AWS strongly preferred, including AI/ML development, deployment, and data-processing services.
Experience deploying, integrating, or supporting production AI/ML systems, including MLOps pipelines, model hosting, and monitoring solutions.
Experience conducting proof-of-concept work, evaluating emerging technologies, and translating findings into recommendations.
Strong understanding of modern AI stacks, APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation patterns.
Experience working in or with enterprise architecture, platform engineering, or MLOps functions.
Familiarity with AI-specific security, governance, and responsible AI considerations.
Experience in financial services or another regulated industry is preferred.
Strong collaboration, analytical, communication, and technical-consulting skills are required.

Hybrid working arrangement with a minimum of three in-office days per week for associates within a 90-minute commutable distance.
Paid time off with additional PTO based on tenure.
Parental, caregiver, bereavement, and military leave programs.
Nine company-paid holidays.
Company-funded pension plan and 401(k) retirement plan with company contributions tied to performance, up to 10 percent of eligible earnings.
Medical, dental, and vision coverage for eligible associates and family members from the first day of employment.
Volunteer paid time off, company-sponsored events, and a dollar-for-dollar matching gift program.
Associate Resource Groups supporting professional connections and inclusion.

1,001-5,000 employees