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Ai Infrastructure Jobs in Delaware (NOW HIRING)

Iff

AI & Data Scientist

Wilmington, DE · On-site

Contribute to the continuous improvement of digital infrastructure, data architecture and Global ... Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

  • Medical

  • Retirement

Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.

EnerSys

Senior Finance AI & Automation Developer

Hockessin, DE · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... infrastructure, & governance. The position will also monitor performance of automations & AI ... solutions as well as identify additional use cases and scale successful pilots. Responsibilities ...

Kemper

SVP, Chief Technology Officer (CTO)

Dover, DE · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This includes enterprise cloud infrastructure, developer platforms, data platforms, AI platforms, integration capabilities, and shared technology services that support all business functions. A ...

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All JobsAi Infrastructure JobsAi Infrastructure Jobs in Delaware

Ai Infrastructure information

See Delaware salary details

$28

$59

$87

How much do ai infrastructure jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai infrastructure in Delaware is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $69.04 per hour, depending on experience, location, and employer.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware may earn higher salaries, often exceeding $180,000.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.
What are popular job titles related to Ai Infrastructure jobs in Delaware? For Ai Infrastructure jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Infrastructure jobs in Delaware look for? The top searched job categories for Ai Infrastructure jobs in Delaware are:
What cities in Delaware are hiring for Ai Infrastructure jobs? Cities in Delaware with the most Ai Infrastructure job openings:
Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Delaware as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $123,209 per year, or $59.2 per hour.

AI & Data Scientist

Iff

Wilmington, DE • On-site

Full-time

Posted 13 days ago

Job description

Job Summary

Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making?

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.

Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.

The role is based in Wilmington, Delaware, United States (on-site role). Be part of a collaborative, innovative and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference
  • Structure, harmonize and manage data across Global Technical Quality systems, including Laboratory Information Management Systems (LIMS), SAP, SharePoint and other digital platforms.
  • Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making.
  • Build and maintain scalable data pipelines supporting structured and unstructured laboratory, manufacturing and technical datasets.
  • Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve productivity and streamline technical operations.
  • Perform statistical analyses to identify trends, deviations and opportunities for continuous improvement across quality systems.
  • Partner closely with Research & Development, Manufacturing, Regulatory Affairs and Global Quality Assurance teams to advance data-driven quality best practices.
  • Contribute to the continuous improvement of digital infrastructure, data architecture and Global Technical Quality workflows.
  • Ensure data integrity, regulatory compliance and alignment with quality standards and expectations.
  • Communicate technical findings, recommendations and business insights clearly to cross-functional stakeholders.
What Makes You the Right Fit
  • Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field.
  • At least five years of experience in data science, analytics, data engineering or digital transformation roles.
  • Strong expertise in data architecture, data modeling and modern data science methodologies.
  • Advanced proficiency in Python, SQL and data integration, transformation and automation tools.
  • Experience designing, developing and maintaining enterprise data pipelines for structured and unstructured data sources.
  • Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development.
  • Strong statistical analysis, data visualization and problem-solving capabilities.
  • Experience with enterprise platforms such as LIMS, SAP, SharePoint and Microsoft 365 tools.
  • Demonstrated ability to learn new business domains quickly, understand how data is stored and used, and identify opportunities to increase productivity through data-driven solutions.
How Would You Stand Out?
  • Master's or Ph.D degree in Data Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline.
  • Experience working with biotechnology, biochemistry, scientific research or laboratory environments.
  • Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences, knowledge bases, agentic workflows and automation platforms.
Why Choose Us?
  • Opportunity to work on innovative AI and data science initiatives that directly impact global quality operations.
  • Exposure to diverse scientific, laboratory and manufacturing datasets across a global organization.
  • Collaboration with experts across Research & Development, Quality, Manufacturing and Digital Technology teams worldwide.
  • Continuous learning and professional development opportunities in emerging technologies, artificial intelligence and data science.
  • Inclusive workplace that values diverse perspectives, curiosity and innovation.
  • Ability to help shape the future of AI-enabled quality excellence across Health & Biosciences.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

Apply