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Ai Platform Jobs (NOW HIRING)

Graphcore

AI Platform Architect

Austin, TX · On-site

The AI Platform Architect will design and oversee a cohesive infrastructure stack for demanding distributed AI workloads, ensuring optimal performance across hardware, software, compute, network, and ...

Graphcore

AI Platform Architect

Austin, TX · On-site

Job Summary We are seeking for a visionary AI Platform Architect to design and oversee the comprehensive infrastructure stack that powers our most demanding distributed AI workloads. Moving beyond ...

Graphcore

AI Platform Architect

Austin, TX · On-site

Job Summary We are seeking for a visionary AI Platform Architect to design and oversee the comprehensive infrastructure stack that powers our most demanding distributed AI workloads. Moving beyond ...

Mortenson

AI Platform Engineer

Minneapolis, MN · On-site

$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 ...

M. A. 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 ...

Carlyle

AI Platform Engineer

Washington, DC

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 ...

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.

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 ...

CYNET SYSTEMS

AI Platform Architect

Nashville, TN · On-site

$60/hr

Deep hands-on expertise with Google Cloud Platform Vertex AI and Gemini models. * Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience ...

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.

Carlyle Group

AI Platform Engineer

Washington, DC

AI Platform Engineer Carlyle is hiring an AI Platform Engineer to join our Enterprise Technology team. In this role, you will partner with engineering teams, product owners, and other business ...

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 ...

Lindsay & Brownell

AI Platform Architect

Iselin, NJ

EisnerAmper is seeking an AI Platform Architect who will serve as the technical backbone of EisnerAmper's AI transformation, owning the performance, reliability, and cost-efficiency of the EisnerAI ...

Bloomerang

AI Platform Engineer

$1.2K/wk

The Role As an AI Platform Engineer within our System Administration team, you will design and build the internal AI platform that every Bloomerang employee uses to do their best work. This role isn ...

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Ai Platform information

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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.
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Ai Platform jobs near you

AI Platform Architect

Graphcore

Austin, TX • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute, developing hardware, software and systems infrastructure for AI breakthroughs. The AI Platform Architect will design and oversee a cohesive infrastructure stack for demanding distributed AI workloads, ensuring optimal performance across hardware, software, compute, network, and storage.
Responsibilities:
• End-to-End Platform Architecture: Define the holistic architecture for highly clustered AI environments, ensuring zero-bottleneck data flow between parallel storage systems, AI compute nodes, and ultra-high-bandwidth network fabrics.
• Workload Orchestration: Influence the strategy for AI workload scheduling and orchestration, utilizing tools like Kubernetes or Slurm to manage distributed training jobs, model check-pointing, and inference serving at massive scale.
• Full-Stack Optimization: Profile and eliminate system-level bottlenecks across the entire AI pipeline, tuning everything from deep learning frameworks (PyTorch, DeepSpeed, etc.) down to OS-level NUMA pinning and I/O scheduling.
• Hardware-Software Co-design: Work closely with software, firmware, and OS engineering to influence platform design, ensuring the software stack fully exploits underlying hardware capabilities, including complex ARM mesh interconnects (RNI, HNF, SNF) and advanced merchant silicon features.
• Silicon Influencing Strategy: Drive the 3-to-5-year technical vision for the AI platform. Collaborate closely with subject matter experts in processor, memory, storage, GPU, thermal, mechanical, BIOS, and Manageability disciplines to define requirements specifications to communicate and present to internal and external silicon teams to influence features, optimized board routing guidelines, power and thermal targets, and the correct feeds and speeds for a competitive AI platform. This will require a deep knowledge of the AI industry and significant market competitive analysis including TCO (OPEX / CAPEX) analysis of new technologies.
Qualifications:
Required:
• Demonstrated ability in systems engineering, cloud architecture, or HPC, hardware engineering with at least 4+ years functioning as a Lead or Principal Architect for large-scale AI or machine learning platforms.
• Deep practical knowledge of how large models are trained and deployed, including data/tensor/pipeline parallelism and the infrastructure requirements of modern LLM architectures.
• Authoritative understanding of system-level bottlenecks and data pathways, including deep familiarity with PCIe Gen 5/6, NVMe namespaces, and RDMA (RoCEv2/InfiniBand) integration.
• Experience with container orchestration platforms and infrastructure-as-code (IaC) tailored for GPU-heavy bare-metal and cloud environments.
• Exceptional ability to bridge the gap between AI researchers/data scientists and low-level hardware/CPU/memory/storage/GPU/network engineers, translating model requirements into strict infrastructure specifications.
• Ability to generate Platform engineering requirement specifications that can be used to guide and influence future silicon designs.
Preferred:
• Hands on experience with rack-as-a-system.
• AI platforms that integrate all the latest networking, cooling, and GPU technologies currently present in the market.
• Working knowledge of scripting language such as Python/JSON to characterize workloads on bare metal AI compute systems to expose issues with current Neural engine silicon solutions.
Company:
Graphcore develops a microprocessor designed for AI and machine learning applications. It is a sub-organization of SoftBank. Founded in 2016, the company is headquartered in Bristol, GBR, with a team of 501-1000 employees. The company is currently Late Stage.

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