AI Platform Engineer — Enterprise AI Ops

Seneca Resources; Montgomery (AL); On-site; USD 37,000 - 50,000; Full time

Job summary

Seneca Resources is seeking an AI Platform Engineer in Montgomery, AL to configure, administer, integrate, and support enterprise AI services across OpenAI, Microsoft Copilot, and Google Gemini. This role emphasizes security, reliability, and automation to empower cross-functional teams working on innovative AI solutions.

The candidate should bring 2–4 years in cloud/platform engineering or DevOps, plus 1+ year with AI platforms and APIs/IAM, and a commitment to governance and documentation.

Qualifications

• Bachelor's degree in CS, IS, Engineering, Cybersecurity, or related field, or equivalent professional experience.
• 2–4 years of experience in cloud systems, platform engineering, application support, DevOps, or SaaS administration.
• 1+ year of practical exposure to AI, Generative AI, or AI-enabled enterprise platforms.
• Hands-on experience with at least one major AI ecosystem (OpenAI, Microsoft AI, Google AI) and ability to support multiple platforms.
• Proficient with APIs, IAM, cloud/SaaS administration, troubleshooting, and technical documentation.
• Ability to maintain security and governance standards while providing technical support.

Responsibilities

• Configure, administer, integrate, and support AI services to ensure secure, efficient operations.
• Collaborate with cross-functional teams to implement platform improvements and troubleshoot issues.
• Develop automation scripts to improve workflows and enterprise AI solutions.

Skills

Cloud systems

Platform engineering

Application support

DevOps

SaaS administration

AI platforms

APIs

IAM

Troubleshooting

Technical documentation

Security governance

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or related field

Job description

Seneca Resources is seeking an AI Platform Engineer in Montgomery, AL to configure, administer, integrate, and support enterprise AI services across OpenAI, Microsoft Copilot, and Google Gemini. This role emphasizes security, reliability, and automation to empower cross-functional teams working on innovative AI solutions.

The candidate should bring 2–4 years in cloud/platform engineering or DevOps, plus 1+ year with AI platforms and APIs/IAM, and a commitment to governance and documentation.