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Ai Implementation Jobs in Delaware (NOW HIRING)

Principal Engineer - AI Platform

Wilmington, DE ยท On-site

$131K - $175K/yr

Implement and maintain data pipelines, model deployment strategies, and monitoring systems. * Ensure high availability and reliability of AI services through effective troubleshooting and performance ...

Principal Engineer - AI Platform

Wilmington, DE ยท On-site

$131K - $175K/yr

Implement and maintain data pipelines, model deployment strategies, and monitoring systems. * Ensure high availability and reliability of AI services through effective troubleshooting and performance ...

AI Governance and Compliance Lead

Dover, DE ยท On-site

$180 - $260/hr

Lead the development and implementation of AI governance frameworks and compliance strategies. Ensure organizational adherence to AI regulations and best practices. What You'll Do * Develop ...

Implement and maintain data pipelines, model deployment strategies, and monitoring systems. * Ensure high availability and reliability of AI services through effective troubleshooting and performance ...

$150 - $200/hr

Evaluates, selects, and governs AI technologies, automation platforms, implementation partners, and vendors in accordance with enterprise architecture, procurement, legal, risk, and compliance ...

Champion AI-assisted engineering practices, evaluating and implementing AI developer tools that improve quality, productivity, and delivery velocity * Deliver technical workshops, mentoring programs ...

These may include funder-sponsored cohorts, bootcamps, workshops, assessments, implementation projects, and advisory services that help nonprofits use AI, automation, data, and information systems to ...

Serve as the primary point of contact for clients, understanding their business goals, value drivers and Napier AI solutions. * Engage with clients from project phase through to implementation and ...

Own the Accounting & Finance AI program end-to-end - intake, prioritization, governance, implementation, training, adoption, and value realization * Identify opportunities to apply AI, machine ...

Showing results 41-60

Ai Implementation information

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Delaware?

The most popular types of Ai Implementation jobs in Delaware are:

What cities in Delaware are hiring for Ai Implementation jobs?

Cities in Delaware with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution.

Senior Java AI Developer (RAG/LLM)

Donato Technologies, Inc

Wilmington, DE โ€ข On-site

$70/hr

Contractor

Re-posted 7 hours ago


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

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.