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Ai Platform Engineer Jobs in Delaware (NOW HIRING)

Sallie Mae

M365 Cloud Engineer II

Newark, DE · On-site

$54.50 - $72.75/hr

The Senior M365 Cloud Engineer will play a key role in enabling secure adoption of emerging ... Platform governance, security, and environment management practices. * Microsoft 365 Copilot & AI ...

Sallie_mae

M365 Cloud Engineer II

Newark, DE

$54.50 - $72.75/hr

The Senior M365 Cloud Engineer will play a key role in enabling secure adoption of emerging ... Platform governance, security, and environment management practices. * Microsoft 365 Copilot & AI ...

Sallie Mae Bank

M365 Cloud Engineer II

Newark, DE · On-site

$54.75 - $73/hr

The Senior M365 Cloud Engineer will play a key role in enabling secure adoption of emerging ... Platform governance, security, and environment management practices. * Microsoft 365 Copilot & AI ...

Mwe

AI Solutions QA Analyst

Wilmington, DE · On-site +1

The AI Solutions QA Analyst partners directly with our Analysts and engineering team to ensure ... AI platforms to generate, evaluate, and refine test cases Understanding ofperformance and ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Delaware

Ai Platform Engineer information

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$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 15, 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 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.

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

Senior Java AI Developer (RAG/LLM)

Geethanjali College of Engineering and Technology

Wilmington, DE • On-site

$55.50 - $70.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The client is looking for a Senior Java AI Developer to develop enterprise-scale Generative AI applications. The ideal candidate will possess strong Java backend expertise along with hands-on experience building Retrieval-Augmented Generation (RAG) solutions and integrating enterprise applications with Large Language Models.
Required Skills
  • 10+ years of Java development experience
  • Strong experience with Java 17+ and Spring Boot
  • Hands-on experience building Retrieval-Augmented Generation (RAG) systems
  • Experience with Spring AI, LangChain4j, or similar Java AI frameworks
  • Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or Llama models
  • Strong knowledge of vector databases such as Pinecone, Milvus, Weaviate, FAISS, or ChromaDB
  • Experience implementing semantic search and document retrieval pipelines
  • Strong REST API and Microservices development experience
  • Experience with Kafka or other messaging platforms
  • Experience with Docker, Kubernetes, and OpenShift
  • Experience with AWS, Azure, or Google Cloud Platform
  • Strong SQL and NoSQL database experience
  • Experience with Git, Jenkins, and CI/CD
  • Experience with Agile development methodologies
Preferred Skills
  • Banking or financial services experience
  • Knowledge of AI agents and autonomous workflows
  • Experience with Spring AI ecosystem
  • Experience implementing enterprise security standards
  • Experience with AI governance and monitoring
  • Knowledge of prompt engineering and model evaluation
Responsibilities
  • Design and develop enterprise Java-based AI applications
  • Build scalable RAG architectures using Java and Spring Boot
  • Integrate LLMs into enterprise applications
  • Develop document ingestion, indexing, and retrieval pipelines
  • Build secure APIs for AI services
  • Optimize retrieval accuracy and response quality
  • Collaborate with architects, ML engineers, and business teams
  • Deploy AI services using containerized cloud platforms
  • Ensure application performance, scalability, and compliance
  • Provide technical leadership and mentor development teams
Nice to Have:
  • Experience with LangGraph or AI Agent frameworks
  • MCP (Model Context Protocol) implementation experience
  • Knowledge Graph integration
  • AI observability tools (LangSmith, Arize AI, TruLens)
  • NVIDIA NIM or enterprise inference platforms
  • Financial regulatory compliance experience
  • Exposure to Agentic AI architectures

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