ZipRecruiter

Log In

1

Ai Platform 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 ...

NavitasPartners

AI Platform Engineer

Philadelphia, PA · On-site

AI Platform Engineer Location: Philadelphia, PA Job Type: Long-Term Contract Work Setting: Onsite Project Overview We are supporting a large-scale airport technology environment that requires skilled ...

NavitasPartners

AI Platform Engineer

Philadelphia, PA · On-site

AI Platform Engineer Location: Philadelphia, PA Job Type: Long-Term Contract Work Setting: Onsite Project Overview We are supporting a large-scale airport technology environment that requires skilled ...

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 ...

NavitasPartners

AI Platform Engineer

Philadelphia, PA · On-site

AI Platform Engineer Location: Philadelphia, PA Job Type: Long-Term Contract Work Setting: Onsite Project Overview We are supporting a large-scale airport technology environment that requires skilled ...

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 ...

RSC2 Inc.

AI Platform Engineer

Hanover, MD

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

RSC2

AI Platform Engineer

Hanover, MD · On-site

$90K - $211K/yr

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements: We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

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 ...

RSC2 INC

AI Platform Engineer

Hanover, MD

$90K - $211K/yr

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

RSC2, Inc

AI Platform Engineer

Hanover, MD · On-site

$90K - $211K/yr

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

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 ...

SymphonyAI

AI Platform Architect

Albany, NY · On-site

The AI Architect will define reference architectures, select platforms and tools, and guide teams in building production-grade AI systems across the enterprise. Key Responsibilities Platform ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

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 ...

CBTS

AI Platform Engineer

Dallas, TX

CBTS is in search of a Platform Engineer for a full-time position. This resource will have the opportunity to introduce AI/ML development concepts while assisting the enterprise with migrating their ...

next page

Showing results 1-20

All JobsAi Platform Jobs

Ai Platform information

See salary details

$30

$62

$91

How much do ai platform jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for ai platform in the United States is $62.02, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Ai Platform vs Data Scientist?

AspectAi PlatformData Scientist
Required CredentialsTypically requires knowledge of AI tools, cloud platforms, and programming languages like Python or RRequires degrees in data science, statistics, or related fields, with skills in programming, statistics, and data analysis
Work EnvironmentWorks mainly with cloud services, AI development tools, and cross-functional teams in tech or enterprise settingsWorks with data sets, statistical models, and visualization tools, often in research or business analytics teams
Employer & Industry UsageUsed in tech companies, AI startups, and enterprises deploying AI solutionsEmployed across industries like finance, healthcare, marketing, and research organizations

While both roles involve working with data and AI, an Ai Platform focuses on developing and managing AI infrastructure and tools, whereas a Data Scientist analyzes data to generate insights and build models. Understanding these differences helps in choosing the right career path or job focus.

What is an AI Platform?

An AI Platform is a comprehensive environment or suite of tools designed to support the development, deployment, and management of artificial intelligence (AI) models and applications. These platforms provide resources such as data storage, processing power, machine learning frameworks, and APIs, enabling developers and data scientists to build, train, test, and scale AI solutions efficiently. Many AI platforms also offer collaboration features, automated workflows, and integration with cloud services to streamline the AI lifecycle. Popular examples include Google AI Platform, Microsoft Azure AI, and Amazon SageMaker.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve overseeing AI development, strategy, or innovation within organizations and may include bonuses or stock options that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What job makes $10,000 a month without a degree?

In the AI platform industry, roles such as AI developer, machine learning engineer, or data scientist can potentially earn $10,000 or more per month with relevant skills and experience, often without a formal degree. Success in these roles depends on proficiency in programming, understanding of AI tools, and a strong portfolio, with many professionals self-educating through online courses and certifications.

How can I make $2000 a week working from home?

A role related to AI platforms can potentially generate $2000 weekly through freelance consulting, developing AI models, or providing specialized technical services. Success depends on skills, experience, and the demand for AI expertise, often requiring proficiency in programming, machine learning, and cloud tools. Building a strong portfolio and networking can help secure high-paying remote opportunities.

What are some common challenges faced by professionals working on AI platforms, and how can they be addressed?

Professionals working on AI platforms often encounter challenges such as integrating diverse data sources, ensuring model scalability, and maintaining data privacy and security. Balancing rapid development with robust testing and compliance requirements is also a frequent hurdle. These challenges can be addressed by adopting modular architectures, utilizing automated testing pipelines, and staying up-to-date with data governance best practices. Collaboration with data engineers, security teams, and stakeholders is essential to ensure solutions are reliable, scalable, and compliant.

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 software engineering skills, experience with machine learning frameworks, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Google Cloud, or Azure), containerization tools (like Docker and Kubernetes), and data pipeline technologies is typically required. Excellent problem-solving abilities, collaboration, and effective communication are vital soft skills in this role. These competencies ensure robust, scalable AI systems and seamless integration across multidisciplinary teams.

What jobs can I get working with AI?

Jobs working with AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch, often with relevant certifications or advanced degrees. AI professionals work in various industries including technology, healthcare, finance, and automotive sectors.
More about Ai Platform jobs
What cities are hiring for Ai Platform jobs? Cities with the most Ai Platform job openings:
What states have the most Ai Platform jobs? States with the most job openings for Ai Platform jobs include:
What job categories do people searching Ai Platform jobs look for? The top searched job categories for Ai Platform jobs are:
Ai Platform jobs near you
AI Platform Engineer

AI Platform Engineer

Pantar Solutions, Inc.

Charlotte, NC

Other

Posted 15 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

Apply