AI Platform Engineer

Location: Montgomery AL

Onsite Flexibility: Onsite

• Position Type: Contract
• Contract Duration: 1 year (contract-to-hire conversion to Merit position pending confirmation of candidate eligibility)
• Pay Rate: $40.00$47.00 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

This opportunity is designed for 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.

Position Snapshot:

• Primary Function: Hands-on AI platform engineering administration integration operations and Tier 2/Tier 3 support.
• Initial Platforms: OpenAI/ChatGPT Microsoft Copilot and Google Gemini; additional enterprise AI services as adopted.
• Service Focus: Provisioning access configuration connectors/APIs automation monitoring troubleshooting documentation and lifecycle support.
• Governance Role: Implements approved governance security privacy compliance and data-handling controls in platform configurations and operating procedures.
• Candidate Background: Cloud engineering systems/platform engineering enterprise SaaS administration application support DevOps/automation IAM/security or related technical disciplines.
• Consulting Background: Not required. Demonstrated hands-on technical ownership and operational support are more important than advisory experience.

• 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; escalate 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.

• 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.

Capability Chart Expected Levels:

• OpenAI / ChatGPT: Working knowledge administrative API workspace access or enterprise-use experience; ability to support OpenAI-based services.
• Microsoft Copilot: Working knowledge exposure to Microsoft 365 Copilot Copilot Studio Azure AI services Power Platform or related administration.
• Google Gemini: Working knowledge exposure to Gemini Vertex AI Google Cloud or Google Workspace AI capabilities; transferable experience acceptable.
• Cloud / SaaS Administration: Working configuration access tenant/workspace administration licensing monitoring service changes and troubleshooting.
• APIs / Integrations: BasicIntermediate REST APIs connectors JSON authentication service endpoints integration troubleshooting or workflow integration.
• Automation / Scripting: BasicIntermediate PowerShell Python workflow tools or similar automation used to improve support and repeatable operations.
• AI Agents / RAG: ExposureWorking basic understanding of agents tools knowledge sources grounding retrieval and enterprise data-access considerations.
• Identity & Access: Working RBAC groups service identities SSO concepts access reviews least privilege and permission troubleshooting.
• Security / Privacy / Governance: Working ability to implement approved controls document configurations support reviews and maintain evidence as required.
• IT Service Management: Working incident request change problem knowledge escalation runbooks and operational support processes.

• 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.

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

• Approximately 24 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.

• Medical Vision and Dental Insurance Plans
• 401k Retirement Fund

• Candidate will work 100% onsite in Montgomery AL. No remote work allowed.
• Background check: ALEA check required.
• Interview format: Virtual or onsite based on location.
• This role offers a contract-to-hire pathway; confirmation is needed to verify candidate eligibility for conversion to a Merit position.

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking financial services technology life sciences biotech utilities and retail sectors throughout the U.S. and Canada.

Job Number: 26-15474 Industry: Engineering

#LI-Onsite #gttic