ZipRecruiter

Log In

1

Ai Platform Engineer Jobs in Delaware (NOW HIRING)

Luxoft

AI & Platform Software Engineer

Wilmington, DE · On-site

... engineering workflow -- coding assistants, agent-based automation, AI-assisted testing and ... platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications. This ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

next page

Showing results 1-20

All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Delaware

Ai Platform Engineer information

See Delaware salary details

$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for ai platform engineer in Delaware is $64.01, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $73.85 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 are popular job titles related to Ai Platform Engineer jobs in Delaware?

For Ai Platform Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Delaware look for?

The top searched job categories for Ai Platform Engineer jobs in Delaware are:

What cities in Delaware are hiring for Ai Platform Engineer jobs?

Cities in Delaware with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you

AI & Platform Software Engineer

Luxoft

Wilmington, DE • On-site

Other

Posted 24 days ago

Job description

Responsabilities:

  • Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.
  • Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities.
  • Work within the bank’s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.
  • Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.
  • Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end.
  • Participate in support rotations for live workloads with incident triage and root-cause discipline.

Mandatory Skills Description:

  • SE III (61 IC): Associate’s + 7 years or Bachelor’s + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate’s + 5 years or Bachelor’s + 3 years equivalent experience (or combined 7 years).
  • Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.
  • Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).
  • Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.
  • Experience delivering and operating production systems in a controlled-change environment.
  • Strong communication, collaboration, documentation, and stakeholder engagement skills.


Apply