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Ai Platform Engineer Jobs (NOW HIRING)

Technodeed LLC

AI Platform Engineer

Manhattan, NY · On-site

Please review the and send me your updated resume Job Title:- AI Platform Engineer 📍 Location: 📅 Duration: Long-Term Contract 🎯 Interview: In-Person (Mandatory) Job Summary We are looking ...

Stellar IT Solutions

AI Platform Engineer

Chicago, IL · On-site

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 ...

Stellar IT Group

AI Platform Engineer

Chicago, IL · On-site

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 ...

Stellar IT Solutions LLC

AI Platform Engineer

Chicago, IL · 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 ...

RSC2 INC

AI Platform Engineer

Hanover, MD · 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 ...

RSC2

AI Platform Engineer

Hanover, MD · On-site

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 ...

RSC2, Inc

AI Platform Engineer

Hanover, MD · 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 ...

Greenberg Traurig, LLP

AI Platform Engineer

Austin, TX · On-site

$140 - $210/hr

Join our Technology Team as an AI Platform Engineer located in various offices.** We are seeking a professional who thrives in a fast-paced, deadline-driven environment. The ideal candidate possesses ...

504 CGCG-US CG Companies Global-US

NY · On-site

$137 - $219/hr

As an AI Platform Engineer, you will design, build, and operate the foundational components of Capital Group's enterprise AI platform, enabling secure, scalable, and responsible development and ...

Capgroup

AI Platform Engineer

Charlotte, NC · On-site

You will work across the full AI platform stack, from data ingestion and vector databases to retrieval systems, orchestration frameworks, agent platforms, and developer-facing APIs, enabling teams to ...

MassMutual

AI Platform Engineer

Manhattan, NY · On-site

$163K - $215K/yr

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

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 ...

MassMutual

AI Platform Engineer

Boston, MA · On-site

$163K - $215K/yr

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design ...

MassMutual

AI Platform Engineer

Springfield, MA · On-site

$163K - $215K/yr

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

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 ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

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 ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

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 ...

System One

AI Platform Engineer

Baltimore, MD · Remote

$72/hr

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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How much do ai platform engineer jobs pay per hour?

As of Aug 28, 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 51% Full Time, 46% Part Time, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

AI Platform Engineer

Manhattan, NY • On-site

Technodeed LLC
See more jobs at Technodeed LLCexternal

Other

Re-posted yesterday

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

📍 Location:
📅 Duration: Long-Term Contract
🎯 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

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

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