Enterprise AI Platform Engineer (Hybrid)

Safety National; Missouri; Hybrid; USD 102,000 - 131,000; Full time

Benefits offered by this job

Hybrid work schedule

Tuition reimbursement

Wellness perks

Total rewards and benefits

Job summary

Safety National in Saint Louis, MO, seeks an AI Platform Engineer III to administer, govern, and improve enterprise AI platforms and services. You will be the primary technical resource for approved AI technologies, ensuring security, scalability, and cost-effectiveness aligned with business goals.

You will collaborate with IT leadership, security, architecture, and data governance teams, manage projects, mentor juniors, and help drive adoption of enterprise AI capabilities with responsible

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, Engineering, or a related field preferred.
• 3+ years of experience in Information Technology or a related field.
• Excellent written, analytical, problem-solving, and verbal communication skills.

Responsibilities

• Administer enterprise AI platforms and services (e.g., Microsoft 365 Copilot, Azure AI Foundry, ChatGPT Enterprise) and govern them for security, scalability, and cost-effectiveness.
• Configure platform settings, security controls, access, licensing, environments, connectors, and governance.
• Collaborate across IT and business teams to implement security, privacy, compliance, monitoring, and operational controls.

Skills

Analytical thinking

Problem-solving

Verbal communication

Written communication

Team collaboration

Education

Bachelor’s degree in IT/CS/IS/Engineering

Job description

Safety National in Saint Louis, MO, seeks an AI Platform Engineer III to administer, govern, and improve enterprise AI platforms and services. You will be the primary technical resource for approved AI technologies, ensuring security, scalability, and cost-effectiveness aligned with business goals.

You will collaborate with IT leadership, security, architecture, and data governance teams, manage projects, mentor juniors, and help drive adoption of enterprise AI capabilities with responsible