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IT - OIT - AI Platform Engineer

TPI Global (formerly Tech Providers, Inc.)

Montgomery, Alabama • Today

Full-time

AI Platform Engineer

AgreeYa Solutions

Prattville, Alabama • 2d ago

Easy Apply

Contract, Third Party

45 - 50

AI Platform Engineer

SYSTEM SOFT TECHNOLOGIES LLC

Montgomery, Alabama • Today

Easy Apply

Contract

AI Platform Engineer

Spiceorb

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

AI Platform Engineer

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Platform Engineer

Spiceorb

Remote • Yesterday

Easy Apply

Contract

60 - 68

Principal AI Platform Engineer

M&T BANK CORPORATION

Remote • Today

Full-time

USD 139,700.00 - 232,900.00 per year

Staff AI Platform Engineer

Sysdig

Remote or San Francisco, California • Today

Full-time

USD 141,000.00 - 194,700.00 per year

Staff AI Platform Engineer

Sysdig

Remote or Raleigh, North Carolina • Today

Full-time

USD 123,000.00 - 154,000.00 per year

AI Platform Engineer -Agentic AI

TekAssembly

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Sr Staff AI Platform Engineer

WEX Inc

Remote • Today

Full-time

USD 220,000.00 - 255,800.00 per year

Staff AI Platform Engineer, Infrastructure Services

SentinelOne

Remote • Today

Full-time

USD 156,000.00 - 215,000.00 per year

Staff AI Platform Engineer

SentinelOne

Remote • Today

Full-time

USD 156,000.00 - 215,000.00 per year

AI Platform & Services Engineer

TechNix LLC

Montgomery, Alabama • Yesterday

Easy Apply

Contract, Third Party

$50 - $55

IT Manager - AI Platform Engineering & Data Science

Ferguson Enterprises, LLC

Remote or Springfield, Virginia • Today

Full-time

USD 7,568.91 - 13,247.76 per month

Principal Engineer, AI Platform

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 242,634.00 - 499,541.00 per year

Software Engineer, AI Platform

Aalyria

Remote or San Francisco, California • Today

Full-time

USD 185,000.00 - 215,000.00 per year

Data Scientist (Remote)

Koniag, Inc.

Remote or Nashville, Tennessee • Today

Full-time

USD 95,000.00 per year

Lead SWE, AI Dev/IT Operations - Remote or Hybrid in DC or MN

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

AI Field Engineer - Enterprise

Fireworks AI

Remote or New York, New York • Today

Full-time

USD 200,000.00 - 260,000.00 per year

Staff AI Engineer (L4)

WEX Inc

Remote • Today

Full-time

USD 185,000.00 - 217,400.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer

ANALYTICA

Remote or Bethesda, Maryland • Today

Full-time

AI/ML Engineering Lead

Protective

Remote or Nebraska • Today

Full-time

USD 124,500.00 - 180,000.00 per year

Senior Lead Applied AI Scientist

Lumen

Remote • Today

Full-time

USD 176,310.00 - 220,386.00 per year

IT - Medicaid - AI Architect

TPI Global (formerly Tech Providers, Inc.)

Montgomery, Alabama • Today

Full-time

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 27d ago

Full-time

USD 145,500.00 - 249,500.00 per year

Senior ML Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Sr Consultant - IT Strategy Consulting - AI

Gartner

Remote or Texas • Today

Full-time

USD 113,000.00 per year

Principal AI Engineering Architect

Robots and Pencils

Remote • Today

Full-time

USD 180,375.00 - 230,625.00 per year

Job Details

Skills

Collaboration
Enterprise Services
Security Controls
IT Operations
Data Science
Training
OAuth
OIDC
SAML
Authentication
Authorization
Licensing
Provisioning
Data Security
Testing
Use Cases
Tier 2
Tier 3
IaaS
DaaS
Regulatory Compliance
Computer Science
Information Systems
Cyber Security
DevOps
Technical Support
Generative Artificial Intelligence (AI)
SaaS
Change Management
Microsoft Azure
Vertex
Enterprise Search
Windows PowerShell
Python
JSON
Scripting
Workflow
Microsoft
RBAC
Privacy
Data Loss Prevention
IT Service Management
Service Operations
Artificial Intelligence
Root Cause Analysis
Cloud Computing
Technical Writing
Documentation
Management

Collaboration
Enterprise Services
Security Controls
IT Operations
Data Science
Training
OAuth
OIDC
SAML
Authentication
Authorization
Licensing
Provisioning
Data Security
Testing
Use Cases
Tier 2
Tier 3
IaaS
DaaS
Regulatory Compliance
Computer Science
Information Systems
Cyber Security
DevOps
Technical Support
Generative Artificial Intelligence (AI)
SaaS
Change Management
Microsoft Azure
Vertex
Enterprise Search
Windows PowerShell
Python
JSON
Scripting
Workflow
Microsoft
RBAC
Privacy
Data Loss Prevention
IT Service Management
Service Operations
Artificial Intelligence
Root Cause Analysis
Cloud Computing
Technical Writing
Documentation
Management

Summary

Job Description

Job Description
Title: IT - IT - OIT - AI Platform Engineer
Duration: 6 months Contract
Location: 100 N Union Street, Montgomery, AL - 100% Onsite

Ideal Candidate Profile:

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.

Position Summary

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 Description
Primary 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;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

Minimum Qualifications

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.
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.

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

Knowledge, Skills, and Abilities

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.

Meet Your Recruiter

Nick Brown

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10375359
Position Id: cd2e524a4eb394929125047dfaae3a2f
Posted 5 hours ago

Fitment

Dice Job Match Score™

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Once logged in, be sure to complete your profile to get the most accurate match score.

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Montgomery, Alabama

•

Today

Location: Montgomery, Alabama Type: Contract Job #107465 AI PLATFORM ENGINEER Pay: $40.00 - $47.00/hour (Based on Experience) Location: Montgomery, AL (100% Onsite) Schedule: Full-Time | 1-Year Contract, W2 Summary We're seeking an AI Platform Engineer to support the administration, integration, operation, and ongoing support of enterprise Artificial Intelligence platforms. This role will work hands-on with technologies such as OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini while helpi

Full-time

USD 40.00 - 47.00 per hour

AI Platform Engineer

Prattville, Alabama

•

2d ago

Seeking an experienced AI Platform Engineer to join our growing team. The engineer will be responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The role will initially support OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, with a focus on reliable enterprise operations, integrations, security, access controls, automation, monitoring, and governance. Job Responsibilities: Engineer, administer, and continuously

Easy Apply

Contract, Third Party

45 - 50

AI Platform & Services Engineer

Montgomery, Alabama

•

Yesterday

Position: Sr. AI Platform and Services Engineer Duration: 12 Months Agency: OIT Job ID: 13759 Client: State of Alabama Location: Montgomery, AL Work Mode: Onsite Interview Type: Virtual or onsite based on location Position Summary The Senior AI Platform & Services Engineer is a senior hands-on technical position responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The position provides technical leadershi

Easy Apply

Contract, Third Party

$50 - $55

AI Platform Engineer

Montgomery, Alabama

•

Today

Required Skills: 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 suppo

Easy Apply

Contract

Job Details

Skills

Collaboration
Enterprise Services
Security Controls
IT Operations
Data Science
Training
OAuth
OIDC
SAML
Authentication
Authorization
Licensing
Provisioning
Data Security
Testing
Use Cases
Tier 2
Tier 3
IaaS
DaaS
Regulatory Compliance
Computer Science
Information Systems
Cyber Security
DevOps
Technical Support
Generative Artificial Intelligence (AI)
SaaS
Change Management
Microsoft Azure
Vertex
Enterprise Search
Windows PowerShell
Python
JSON
Scripting
Workflow
Microsoft
RBAC
Privacy
Data Loss Prevention
IT Service Management
Service Operations
Artificial Intelligence
Root Cause Analysis
Cloud Computing
Technical Writing
Documentation
Management

Collaboration
Enterprise Services
Security Controls
IT Operations
Data Science
Training
OAuth
OIDC
SAML
Authentication
Authorization
Licensing
Provisioning
Data Security
Testing
Use Cases
Tier 2
Tier 3
IaaS
DaaS
Regulatory Compliance
Computer Science
Information Systems
Cyber Security
DevOps
Technical Support
Generative Artificial Intelligence (AI)
SaaS
Change Management
Microsoft Azure
Vertex
Enterprise Search
Windows PowerShell
Python
JSON
Scripting
Workflow
Microsoft
RBAC
Privacy
Data Loss Prevention
IT Service Management
Service Operations
Artificial Intelligence
Root Cause Analysis
Cloud Computing
Technical Writing
Documentation
Management

Summary

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.

Position Summary

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 Description
Primary 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;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

Minimum Qualifications

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.
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.

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

Knowledge, Skills, and Abilities

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.

Meet Your Recruiter

Nick Brown

Dice Id: 10375359
Position Id: cd2e524a4eb394929125047dfaae3a2f
Posted 5 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Montgomery, Alabama

•

Today

Full-time

USD 40.00 - 47.00 per hour

AI Platform Engineer

Prattville, Alabama

•

2d ago

Easy Apply

Contract, Third Party

45 - 50

AI Platform & Services Engineer

Montgomery, Alabama

•

Yesterday

Easy Apply

Contract, Third Party

$50 - $55

AI Platform Engineer

Montgomery, Alabama

•

Today

Easy Apply

Contract

IT - OIT - AI Platform Engineer

Skills

Summary

Dice Job Match Score™

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IT - OIT - AI Platform Engineer

Job Details

Skills

Summary

Dice Job Match Score™

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