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Ai Platform Engineer Jobs (NOW HIRING)

Please review the and send me your updated resume Job Title:- AI Platform Engineer ๐Ÿ“ Location: ๐Ÿ“… Duration: Long-Term Contract ๐ŸŽฏ Interview: In-Person (Mandatory) Job Summary We are looking ...

AI Platform Engineer Job Location: Hybrid (3 days onsite, 2 days remote), Chicago, IL Travel: Occasional international travel required Job Duration: Long Term Contract Job Summary: We are seeking an ...

New

AI Platform Engineer Job Location: Hybrid (3 days onsite, 2 days remote), Chicago, IL Travel: Occasional international travel required Job Duration: Long Term Contract Job Summary: We are seeking an ...

New

AI Platform Engineer

Chicago, IL ยท Hybrid

$65 - $70/hr

AI Platform Engineer Job Location: Hybrid (3 days onsite, 2 days remote), Chicago, IL Travel: Occasional international travel required Job Duration: Long Term Contract Job Summary: We are seeking an ...

New

AI Platform Engineer | AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer ...

AI Platform Engineer | AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer ...

AI Platform Engineer | AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer ...

AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure) Location : Charlotte NC (100% onsite) AI Platform Engineer to design and build the foundational components that power ...

The AI Platform Engineer will design, build, and maintain the infrastructure for AI solutions, ensuring scalable and secure platforms for model deployment and experimentation. Responsibilities : โ€ข ...

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 ...

AI Platform Engineer

Hanover, MD ยท 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 ...

AI Platform Engineer

Hanover, MD ยท 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 ...

AI Platform Engineer Type: Contract Compensation: $72/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 ...

Our partner is looking for an AI Platform Engineer based in Netherlands. This role offers the opportunity to design and build the foundation of an AI-native operating environment used across a global ...

AI Platform Engineer Type: Contract Compensation: $72/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 ...

AI Platform Engineer Type: Contract Compensation: $72/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 ...

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Ai Platform Engineer information

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$33

$63

$94

How much do ai platform engineer jobs pay per hour?

As of Aug 7, 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 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.

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.
More about Ai Platform Engineer jobs
What cities are hiring for Ai Platform Engineer jobs? Cities with the most Ai Platform Engineer job openings:
What states have the most Ai Platform Engineer jobs? States with the most job openings for Ai Platform Engineer jobs include:
Infographic showing various Ai Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 51% Full Time, 46% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

AI Platform Engineer

Technodeed LLC

Manhattan, NY โ€ข On-site

Other

Posted 11 days ago


Job description

Hi Everyone,
Hope you are doing well!!!
Please review the job description and send me your updated resume

Job Title:- AI Platform Engineer

๐Ÿ“ Location:
๐Ÿ“… Duration: Long-Term Contract
๐ŸŽฏ Interview: In-Person (Mandatory)

Job Summary

We are looking for an experienced AI Platform Engineer to support enterprise AI platform enablement, governance, and automation. The ideal candidate will have expertise in Generative AI, AWS, Python, AI Platform Engineering, and enterprise security/compliance, with experience implementing AI controls, supporting AI users, and optimizing platform usage and costs.

Key Responsibilities
  • Enable and support enterprise AI platforms (Open AI, Claude, Gemini, Bedrock).
  • Implement AI security controls, governance, IAM policies, and compliance guardrails.
  • Build AI platform capabilities using Python, AWS, Agentic AI, MCP, and Graph/RAG.
  • Automate infrastructure and platform provisioning using Terraform and Docker.
  • Manage AI platform costs, token usage, quotas, and monitoring.
  • Provide technical support for AI users, agents, APIs, and MCP integrations.
  • Collaborate with Security, Risk, Compliance, and Engineering teams.
  • Create documentation, runbooks, and onboarding guides.
Required Skills

โœ” 6+ years of Software/Platform Engineering experience
โœ” 1+ years of AI Platform or Generative AI experience
โœ” Python (Boto3, Pandas, NumPy)
โœ” AWS (Bedrock, EKS, Lambda, Fargate, Athena, Glue, EC2)
โœ” Generative AI: GPT, Claude, Gemini, LLaMA
โœ” Agentic AI, MCP, Graph/RAG, LLM Pipelines
โœ” IAM, Security Controls, Logging & Compliance
โœ” Terraform, Docker, Infrastructure as Code
โœ” Vector Databases (PGVector, Neo4j, Weaviate, Milvus)
โœ” DevSecOps, Agile, Jira & Confluence
โœ” Strong communication and stakeholder management

Nice to Have
  • Quick Sight or Tableau
  • Financial Services domain experience
  • AI Cost Management & Governance
Top Skills

Generative AI | Agentic AI | MCP | AWS Bedrock | Python | Graph/RAG | Terraform | Docker | AI Governance | DevSecOps | Vector Databases | Enterprise AI Platforms

Ruchi |Lead Recruiter | Technodeed
Email ID: 
5000 Centre Green Way, Suite 500, Cary, NC 27513
Linkedin.com/in/ruchi-verma-a28b4921a