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Ai Platform Engineer Jobs in Commack, NY (NOW HIRING)

GCP Platform Engineer - Enterprise Cloud & AI Platform Location: NYC NY (3 days a week Hybrid role) (Local candidate preffered) Role Summary The GCP Platform Engineer is responsible for designing ...

GCP Platform Engineer - Enterprise Cloud & AI Platform Location: NYC NY (3 days a week Hybrid role) (Local candidate preffered) Role Summary The GCP Platform Engineer is responsible for designing ...

Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come * Bridge AI and Engineering : Collaborate with ML engineers and researchers ...

Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come * Bridge AI and Engineering : Collaborate with ML engineers and researchers ...

Lead AI Platform Engineer

New York, NY ยท On-site

$112K - $147K/yr

Both need a senior engineering owner, and both need to grow into the foundation of how OUTFRONT ... If you've wanted to build a meaningful AI platform from the ground up inside a company that ...

Senior AI Platform Engineer

New York, NY ยท On-site

$114K - $157K/yr

As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible. You will build and maintain the platform infrastructure, connectors, execution patterns, and self ...

Lead AI Platform Engineer

New York, NY ยท On-site

$112K - $147K/yr

Both need a senior engineering owner, and both need to grow into the foundation of how OUTFRONT ... If you've wanted to build a meaningful AI platform from the ground up inside a company that ...

Data & AI Platform Engineer

Garden City, NY ยท On-site

$117K - $141K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Data & AI Platform Engineer

New York, NY ยท On-site

$125K - $150K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

AI Engineer - AI Platform

New York, NY ยท On-site

$150K - $300K/yr

The Role As an AI Platform Engineer at Traversal, you'll work on the core foundations that make Traversal's AI possible while ensuring Traversal's platform, products, and applications are delivered ...

AI Engineer - AI Platform

New York, NY ยท On-site

$150K - $300K/yr

The Role As an AI Platform Engineer at Traversal, you'll work on the core foundations that make Traversal's AI possible while ensuring Traversal's platform, products, and applications are delivered ...

AWS Platform Engineer

New York, NY ยท On-site

$135K - $190K/yr

Senior AWS Platform / DevOps Engineer (MLOps Focus)About Indicium AI Indicium AI was Anthropic's first European launch partner, a Preferred Anthropic Partner, and sits among a handful of ...

New

Senior Platform Engineer

New York, NY ยท On-site

$114K - $157K/yr

Senior Platform Engineer About Titan ... Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire ...

AWS Platform Engineer

New York, NY ยท On-site

$135K - $190K/yr

Senior AWS Platform / DevOps Engineer (MLOps Focus) About Indicium AI Indicium AI was Anthropic's first European launch partner, a Preferred Anthropic Partner, and sits among a handful of ...

Platform Engineer

New York, NY ยท On-site

$200K - $375K/yr

About Our Client Our client is building an AI-native infrastructure platform that helps engineering teams investigate, resolve, and prevent production issues faster. Their product is designed to give ...

Director, AI Platform Engineering Locations : San Francisco, CA / Boston, MA / Waltham, MA / NY, NY | Hybrid Get To Know Us: SS&C Advent's financial solutions are going Agentic! And we're growing the ...

Senior Data & AI Platform Engineer

Garden City, NY ยท On-site

$69.25 - $92.75/hr

Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud ... Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration ...

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Ai Platform Engineer information

See Commack, NY salary details

$34

$66

$98

How much do ai platform engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai platform engineer in Commack, NY is $66.23, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $76.44 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.

What cities near Commack, NY are hiring for Ai Platform Engineer jobs?

Cities near Commack, NY with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Commack, NY as of August 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $137,755 per year, or $66.2 per hour.

Rust, AI Platform Engineer, Director

Staffingine LLC

New York, NY โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

Job Title: Rust, AI Platform Engineer, Director
Job Location: New York, NY, US
Job Type: Full-Time
Job Description:

  • Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform. 
  • Implement and manage Kubernetes clusters for deploying AI models. 
  • Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. 
  • Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns. 
  • Ensure the security and compliance of the platform. 
  • Troubleshoot and resolve issues related to platform performance and reliability. 
  • Refine business and functional requirements and translate them into scalable technical designs. 
  • Apply quality software engineering practices throughout the software development lifecycle. 
  • Work with team members in a multi-office, multi-country environment. 
  • Stay updated with the latest trends and technologies in AI and cloud engineering.