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Ai Platform Engineer Jobs (NOW HIRING)

USALCO

AI Platform Engineer

Baltimore, MD · Remote

The AI Platform Engineer is responsible for designing, building, and operationalizing the organization's AI platform capabilities across cloud infrastructure, enterprise systems, and customer-facing ...

Kimley-Horn

AI Platform Engineer

Dallas, TX · On-site

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. In this role, you will help build and maintain the AI platform foundation that ...

Kimley-Horn

AI Platform Engineer

Dallas, TX · On-site

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

Carlyle

AI Platform Engineer

Washington, DC · On-site

AI Platform Engineer Location: Washington, DC Line of Business: Global Technology & Solutions Job Function: Investor Services Date: Wednesday, June 3, 2026 Position Summary Carlyle is hiring an AI ...

Mortenson

AI Platform Engineer

Minneapolis, MN

$85K - $128K/yr

AI Platform Engineer SUMMARY The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson's AI solutions. This role ensures scalable, secure, and high-performing ...

ERP Suites

AI Platform Engineer

Loveland, OH · On-site +1

We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is passionate about building, operating, and scaling the infrastructure that powers next-generation AI solutions.

Mortenson

AI Platform Engineer

Minneapolis, MN

$85K - $128K/yr

AI Platform Engineer SUMMARY The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson's AI solutions. This role ensures scalable, secure, and high-performing ...

Kimley-Horn

AI Platform Engineer

Dallas, TX · On-site

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

ERP Suites

AI Platform Engineer

Loveland, OH · Remote

We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is passionate about building, operating, and scaling the infrastructure that powers next-generation AI solutions.

The Carlyle Group

AI Platform Engineer

Washington, DC · On-site

The Carlyle Group is a global investment firm seeking an AI Platform Engineer to join their Enterprise Technology team. In this role, you will design, build, and maintain AI-enabled developer ...

TELCOR Inc

AI Platform Engineer

Lincoln, NE · On-site +1

$125K - $165K/yr

AI Platform Engineer TELCOR Inc, a leading innovator in laboratory software, is looking for a AI Platform Engineer to join our TELCOR AI Systems team! This role is ideal for a product-minded engineer ...

TELCOR Inc

AI Platform Engineer

$125K - $165K/yr

AI Platform Engineer TELCOR Inc, a leading innovator in laboratory software, is looking for a AI Platform Engineer to join our TELCOR AI Systems team! This role is ideal for a product-minded engineer ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for ai platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
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Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in the United States as of May 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.
AI Platform Engineer

AI Platform Engineer

Pantar Solutions, Inc.

Charlotte, NC

Other

Posted 2 days ago

Job description

Title : AI Platform Engineer
Location : Charlotte, NC
Contract to Hire on W2
Job Description :
This is a principal-level, deeply hands-on AI platform engineering role for the most senior individual contributor responsible for the AI platform layer. This role owns the AI gateway architecture, the agent deployment pipeline infrastructure, and the Azure AI Foundry runtime configuration. The successful candidate will design and operate the infrastructure that makes AI engineering possible at enterprise scale, building the gateway that controls model traffic and enforcing deployment pipelines.
Responsibilities:
Own and evolve the AI gateway architecture, configuring and operating the API gateway layer that manages traffic routing, rate limiting, authentication, quota enforcement, failover, and cost controls
Own the agent deployment pipeline architecture, designing and operating the CI/CD infrastructure that moves AI agents from development through production
Own and evolve the Azure AI Foundry runtime configuration, managing the project structure, model deployments, capacity allocations, and runtime parameters
Design and enforce AI platform governance controls, including model access policies, quota management, and deployment approval gates
Build and maintain AI platform observability, instrumenting the gateway, deployment pipelines, and Foundry runtimes with metrics, logging, and alerting
Partner with the Senior Agent Architect and engineering teams to translate agent architecture requirements into platform infrastructure design
Partner with the Principal Platform Engineer to design landing zone extensions and Azure infrastructure
Partner with the DevSecOps Engineer to integrate AI model and agent deployments into the CI/CD pipeline
Partner with the AI Security Lead to implement AI platform security controls
Drive AI platform cost optimization and maintain comprehensive AI platform documentation
Mentor AI platform and MLOps engineers, elevating platform engineering capability
Requirements:
8+ years of software, platform, or infrastructure engineering experience, including 3+ years of principal or senior-level ownership of AI/ML platform engineering, LLMOps, MLOps, or enterprise AI infrastructure
Deep expertise in Azure AI Foundry, Azure OpenAI Service, or comparable enterprise LLM platform hosting and runtime management
Demonstrated experience designing and operating API gateway architectures for AI model traffic
Strong experience designing and operating CI/CD deployment pipelines for AI models, agents, or ML workloads
Strong cloud engineering skills in Microsoft Azure, including networking, managed identity, Key Vault, Azure Monitor, Container Apps or AKS
Experience implementing AI platform governance controls, including access policies, deployment approval workflows, and cost attribution
Ability to set platform standards, influence architecture decisions, and drive AI platform quality
Excellent written and verbal communication skills
Desired skills:
Deep hands-on experience with Azure AI Foundry project management, model deployment configuration, capacity planning, and SDK integration at enterprise scale
Experience with AI gateway solutions such as Azure API Management (APIM) with AI routing policies
Experience in financial services, cybersecurity, or other regulated enterprise environments
Experience with vector databases, embedding services, semantic cache layers, or RAG infrastructure components
Experience with container orchestration (AKS, Azure Container Apps) for AI agent runtime hosting
Familiarity with AI platform FinOps, including token cost tracking and model deployment rightsizing
Experience with LangSmith, Weights & Biases, MLflow, or comparable AI platform observability and experiment tracking tools
Microsoft Azure AI Engineer or Solutions Architect certifications

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