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Ai Platform Engineer Jobs (NOW HIRING)

System One

AI Platform Engineer

Baltimore, MD · Remote

$56/hr

AI Platform Engineer Type: Contract Compensation: $56/HR Work Model: 100% Remote Role Overview We're looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure ...

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.

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.

PGTEK

AI Platform Engineer

Mclean, VA · On-site

$125 - $185/hr

AI Platform Engineer Location: McLean, VA (Onsite 5 Days per Week) Employment Type: Full-Time Salary Range: $125,000 - $185,000 Clearance Required: Active TS/SCI with Counterintelligence Polygraph ...

Worky

AI Platform Engineer

San Francisco, CA · On-site

$180 - $240/hr

We're hiring multiple AI Platform Engineers to help build the foundation of an AI-first engineering organization. This is a high-impact role where you'll own the infrastructure, developer platform ...

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 ...

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site

Cornelis Networks is seeking an AI Platform Engineer to help shape how our engineering organization uses AI to design, develop, validate, and support advanced networking products. This is an emerging ...

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 ...

Notable

AI Platform Engineer

As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that enhance AI features across Notable's solutions, ensuring scalability and reliability while collaborating ...

Tessera Labs

$200K - $250K/yr

AI Platform Engineer About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding ...

Usalco

AI Platform Engineer

Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to ...

Bayview Asset Management

AI Platform Engineer

Manhattan, NY · On-site

$150K - $200K/yr

POSITION SUMMARY Bayview Asset Management is seeking a AI Platform Engineer to help build the firm's Enterprise AI Platform that powers intelligent applications, AI agents, workflow automation, and ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 1, 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 is an AI Platform Engineer?

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 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.

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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.
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Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 55% In-person, and 45% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

AI Platform Engineer

System One

Baltimore, MD • Remote

$56/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description

Job Title: AI Platform Engineer Type: Contract Compensation: $56/HR Work Model: 100% Remote Role Overview

We’re looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud environment. In this role, you’ll work closely with platform architects to build and enable AI solutions that meet enterprise standards for security, compliance, and governance—especially within a regulated healthcare setting.

You’ll play a key role in engineering reusable platform components, automating guardrails, and empowering development teams to deliver responsible AI solutions at scale.

What You’ll Do

  • Build & Configure AI Platforms: Translate AI architectures into scalable cloud solutions across Azure and integrated platforms using infrastructure-as-code and CI/CD pipelines. Develop reusable modules, landing zones, and core AI services.
  • Enable Governance & Guardrails: Implement policy-as-code, security controls, and compliance requirements (e.g., data protection, audit logging, access controls) to ensure all AI workloads meet regulatory and enterprise standards.
  • Support Developers: Create templates, starter kits, and self-service tools that enable teams to build AI solutions quickly and safely. Provide documentation and hands-on support as needed.
  • Ensure Reliability & Performance: Monitor platform health, usage, and cost; support incident response and continuous improvements; and maintain documentation, runbooks, and standards.

What You Bring

Required

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 5+ years of cloud/platform engineering experience, including 2+ years with Azure (or similar)
  • Hands-on experience with infrastructure-as-code (Terraform, Bicep), CI/CD pipelines, and cloud security practices
  • Working knowledge of AI/ML services (e.g., Azure OpenAI, vector databases, model APIs)
  • Experience supporting regulated environments (e.g., HIPAA, PCI)
  • Strong understanding of cloud identity, networking, encryption, and secrets management

Nice to Have

  • Experience across Azure, MuleSoft, and Salesforce ecosystems
  • Background in healthcare or other regulated industries
  • Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO 42001)
  • Experience with RAG architectures, document intelligence, or agent-based AI
  • Relevant certifications (Azure, MuleSoft, Salesforce)

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients but also offers eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-1 #LI-AJ1 Ref: #851-Rockville-S1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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