AI Platform Engineer

Advanced Systems Design; Montgomery (AL); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health Insurance

401(k) Plan with Employer Match

Paid Time Off

Holiday Pay - Federal Holidays

Professional Certification Incentive

Job summary

Advanced Systems Design in Montgomery, AL seeks an AI Platform Engineer to configure, operate and support enterprise AI platforms on site from day one. You will work across OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, enabling access, integrations and automation to turn AI into reliable enterprise services.

The role emphasizes hands-on platform engineering, API integrations, security, governance, and runbook creation, with collaboration across cybersecurity and cloud teams.

Qualifications

• Approximately 2–4 years of professional experience in cloud, systems, platform, or DevOps.
• At least 1 year of exposure to AI, intelligent automation, generative AI, or AI-enabled enterprise platforms; project experience may count.
• Hands-on experience with at least one major AI ecosystem and ability to learn other platforms.

Responsibilities

• Administer and support enterprise AI platforms (OpenAI/ChatGPT, Microsoft Copilot, Google Gemini).
• Configure environments, tenants/workspaces, access, permissions and service controls.
• Assist with API integrations, connectors, agents, and automation between AI platforms and enterprise systems.
• Support identity and access; implement OAuth/OIDC or SAML-based integrations and least-privilege access.
• Troubleshoot platform, authentication, authorization, data-access, and performance issues.
• Monitor service health, licensing, logs, alerts, and operational metrics; coordinate escalations.
• Assist with provisioning, change, release, and retirement processes for AI services and components.
• Maintain inventories of AI services, accounts, and dependencies.
• Implement security, privacy, data protection, governance, and compliance requirements.

Skills

Cloud & SaaS

Platform administration

Automation

API integrations

Identity & access management

Documentation & runbooks

Troubleshooting

Python scripting

PowerShell

REST APIs

Education

Bachelor's degree in CS/IS/Engineering or related

Tools

OpenAI APIs

Google Gemini

Microsoft Copilot

PowerShell

Python

REST APIs

JSON

Job description

Advanced Systems Design is seeking an AI Platform Engineer for our client located in Montgomery, AL.

This position is onsite in Montgomery, AL, and requires in-person availability starting day 1.

Job Overview:

The ideal candidate for this role is an early-career to mid-level engineer with strong cloud, SaaS, systems, application, automation, or platform administration fundamentals who has practical exposure to modern AI services and wants to work hands-on across multiple enterprise AI platforms.

The AI Platform Engineer is a hands-on technical position responsible for configuring, administering, integrating, operating, and supporting enterprise Artificial Intelligence (AI) platforms and related services. The position will initially work across OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini capabilities, with responsibilities expanding as additional AI platforms are adopted. The engineer helps turn AI products into reliable enterprise services by supporting access, integrations, automation, monitoring, documentation, security controls, governance requirements, and day-to-day technical operations. This is not primarily a consulting, data-science, or custom model-training role; it is an enterprise platform engineering and service-support role.

Responsibilities:

• Administer and support enterprise AI platforms, initially including OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini.
• Configure platform settings, environments, tenants/workspaces, user and group access, permissions, roles, service controls, and approved feature availability.
• Assist with implementation of APIs, connectors, agents, automation, plugins/extensions, knowledge sources, and integrations between AI platforms and enterprise systems.
• Support identity and access requirements including role-based access, service identities, OAuth/OIDC or SAML-based integrations, and least-privilege access patterns as applicable.
• Troubleshoot platform, configuration, authentication, authorization, integration, data-access, performance, and service-availability issues.
• Monitor service health, utilization, licensing, consumption, logs, alerts, platform changes, and operational metrics; elevate and coordinate issues when needed.
• Assist with provisioning, modification, change, release, and retirement processes for AI services, agents, integrations, and related technical components.
• Maintain inventories of approved AI services, applications, agents, integrations, service accounts, knowledge sources, and technical dependencies.
• Implement approved security, privacy, data-protection, governance, records, and compliance requirements within supported AI platforms.
• Participate in technical reviews and testing of new AI use cases, platform features, models, agents, and service changes before broader deployment.
• Create and maintain technical documentation, configuration records, support procedures, runbooks, knowledge articles, and operational standards.
• Provide Tier 2/Tier 3 support for AI-related incidents and service requests and coordinate with vendors or internal teams for escalation.
• Develop scripts, workflows, or lightweight automation using PowerShell, Python, APIs, or comparable tools to improve repeatability and supportability.
• Work collaboratively with cybersecurity, cloud/infrastructure, identity, application, data, service-management, legal/compliance, and business teams.

Required Qualifications:

• Approximately 2 - 4 years of professional experience in cloud, systems, platform, application, DevOps, automation, enterprise SaaS administration, technical support, or a closely related engineering discipline.
• At least one year of meaningful exposure to AI, intelligent automation, generative AI, or AI-enabled enterprise platforms; equivalent hands-on project experience may be considered.
• Hands-on experience with at least one major AI ecosystem and the ability to learn and support additional platforms.
• Working knowledge of APIs, identity/access concepts, cloud/SaaS administration, troubleshooting, change management, and technical documentation.
• Ability to work in a service-oriented environment and support both technical teams and end users while maintaining appropriate security and governance controls.
• Ability to learn rapidly changing AI platforms and evaluate the operational impact of new features and models.
• Strong troubleshooting and root-cause analysis skills across cloud services, identity, APIs, integrations, and enterprise applications.
• Ability to translate policy or control requirements into practical configuration, support, and operating procedures.
• Clear technical writing and documentation skills with an emphasis on repeatability and supportability.
• Ability to manage multiple tasks, prioritize incidents and service requests, and communicate effectively with technical and nontechnical stakeholders.

Preferred Qualifications:

• Experience with OpenAI/ChatGPT Enterprise or Business, OpenAI APIs, Microsoft Copilot/Copilot Studio/Azure AI services, or Google Gemini/Vertex AI/Google Workspace.
• Experience supporting APIs, connectors, AI agents, retrieval-augmented generation (RAG), enterprise search, knowledge grounding, or related integration patterns.
• Experience with PowerShell, Python, REST APIs, JSON, scripting, workflow automation, or low-code automation platforms.
• Experience with Microsoft Entra ID, Google identity, IAM/RBAC concepts, service principals/service accounts, secrets, permissions, or access reviews.
• Familiarity with enterprise security, privacy, data-loss prevention, records/data handling, responsible AI, and AI governance requirements.
• Experience using IT service management practices for incident, request, change, problem, knowledge, and service operations.

Education Required:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and relevant professional experience.

Advanced Systems Design, Inc. is:

• A leading Information Technology provider for Federal, State & Local government agencies.
• A certified minority-owned small business government contractor with capabilities related to Public Health IT, Criminal Justice, Transportation, and Defense.
• A certified service-disabled veteran-owned company with a proud 46-year track record of providing successful innovative solutions for our government customers.
• A drug-free workplace in accordance with the Drug-Free Workplace Act of 1988.
• Applicants who have a signed offer of employment or contractor agreement are subject to:
  • the pre-employment testing protocol:
    • background investigation
    • drug screening

Our Employees:

• Are actively working on next-generation technology projects with the U.S. Department of Veterans Affairs, CDC, and a wide array of Federal, State, and Local agencies throughout the United States.
• Are eligible for wide-ranging benefits and perks, including but not limited to:
  • Comprehensive Health Insurance with PPO and HDHP/HSA options
  • Dental Insurance
  • Vision Insurance
  • Short/Long-Term Disability
  • Group Life Insurance - Company Paid
  • Voluntary Life Insurance
  • 401(k) Plan with Employer Match
  • Paid Time Off (Vacation/Sick)
  • Holiday Pay - Company Paid Federal Holidays
  • Professional Certification Incentive Plan
  • Employee Referral Plan
  • Technology Exposure

Advanced Systems Design is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.