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Ai Platform Jobs (NOW HIRING)

Photon

AI PLATFORM Architect

Dallas, TX · On-site

We are looking for an AI Platform Engineer a builder who can architect the "factory" where AI is made. Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS ...

CACI International, Inc.

AI Platform Engineer

Huntsville, AL · On-site

$98.50K - $206.80K/yr

AI Platform Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of ...

Expedient

AI Platform Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Summary Join Expedient's AI CTRL product team to build and scale the infrastructure powering our containerized AI platform. You'll create the robust backbone for enterprise-scale AI services, working ...

PepsiCo

AI Platform Architect

Plano, TX · On-site

Decision-Making Autonomy Minimum - Work with Senior Platform Architect in the technical aspects of AI model development and implementation, working under the strategic direction provided by the ...

PepsiCo

AI Platform Architect

Plano, TX

Decision-Making Autonomy Minimum - Work with Senior Platform Architect in the technical aspects of AI model development and implementation, working under the strategic direction provided by the ...

PepsiCo

AI Platform Architect

Plano, TX

Decision-Making Autonomy Minimum - Work with Senior Platform Architect in the technical aspects of AI model development and implementation, working under the strategic direction provided by the ...

Expedient

AI Platform Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Summary Join Expedient's AI CTRL product team to build and scale the infrastructure powering our containerized AI platform. You'll create the robust backbone for enterprise-scale AI services, working ...

Capgroup

AI Platform Engineer IV

Charlotte, NC

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as an AI Platform Engineer at Capital Group." As an AI Platform Engineer ...

X Energy LLC

AI Platform Engineer

Rockville, MD · On-site

Apply knowledge of LLMs and AI systems to support the platform's AI-native architecture * Maintain professional demeanor and behavior at all times in all forms of communication * Execute core tasks ...

Harley Ellis Devereaux

AI Platform Developer

Boston, MA · On-site

$120K - $170K/yr

AI Platform Developer HED is hiring an AI Platform Developer to build durable, production-grade AI agent systems that integrate with governed data. About HED We are a team that is full of ideas ...

Aramark

AI Platform Engineer

Philadelphia, PA · Hybrid

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

Seekup Strategies

AI Platform Lead

New York, NY · Remote

AI Platform Technical Owner Hands-on AI Platform Technical Owner to architect, govern, and evolve their enterprise AI infrastructure. This is not a feature-level product role. This position owns the ...

Aramark

AI Platform Engineer

Philadelphia, PA · On-site

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

Aramark

AI Platform Engineer

Philadelphia, PA · Hybrid

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

Kiewit

AI Platform Administrator

Papillion, NE · On-site

You will also maintain working knowledge of additional AI platforms in use across the organization, providing cross-platform coordination and guidance as needed. While technical administration is the ...

X Energy LLC

AI Platform Engineer

Rockville, MD · Hybrid

Apply knowledge of LLMs and AI systems to support the platform's AI-native architecture * Maintain professional demeanor and behavior at all times in all forms of communication * Execute core tasks ...

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How much do ai platform jobs pay per hour?

As of May 31, 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 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 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 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 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.

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
Infographic showing various Ai Platform job openings in the United States as of May 2026, with employment types broken down into 51% Full Time, 44% Part Time, 1% Temporary, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $129,011 per year, or $62 per hour.
AI PLATFORM Architect

AI PLATFORM Architect

Photon

Dallas, TX • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We are looking for an AI Platform Engineer a builder who can architect the "factory" where AI is made.

Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.

Key Responsibilities

  • Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
  • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
  • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
  • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
  • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
  • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
  • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.

Required Technical Skills

  • Expert Python: Deep, hands-on knowledge is mandatory.
  • Data Engineering: Extensive experience in massive data ingestion and processing.
  • RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
  • Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
  • Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
  • DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.

Experience & Qualifications

  • Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
  • Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
  • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
  • Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.

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