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Ai Infrastructure Jobs in Delaware (NOW HIRING)

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... LLM Infrastructure & Deployment: LLM serving platforms (vLLM, Text Generation Inference, FastAPI)

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... LLM Infrastructure & Deployment: LLM serving platforms (vLLM, Text Generation Inference, FastAPI)

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Collaborate with data scientists to understand model requirements and optimize infrastructure ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... Collaborate with data scientists to understand model requirements and optimize infrastructure ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... Collaborate with data scientists to understand model requirements and optimize infrastructure ...

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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.

Senior Lead Infrastructure Engineer - Capacity Management

JPMorgan Chase & Co

Wilmington, DE • On-site

$105K - $143K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.
 

As a Senior Lead Infrastructure Engineer - Capacity Management at JPMorganChase within the Consumer and Community Banking you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications. 

Job responsibilities

  • Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, and finding ways to mitigate risk
  • Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
  • Be responsible for infrastructure engineering in accordance with business requirements
  • Drives results and implements multiple complex programs
  • Drives thought leadership within the product line
  • Executes work according to compliance standards, risk and security, and business objectives
  • Considers upstream/downstream system or technical implications and advises on mitigation actions
  • Advises junior engineers and technologists
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
  • Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments

  • Experience with creating and leveraging dashboards (Grafana, Dynatrace, ELK,.) for visualization of data.

  • Experience on business intelligence (BI) tools like Microsoft Power BI, Qlik, Tableau etc. that allow users to explore and analyze data from multiple sources. 

  • Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems. Ability to navigate effectively, building partnerships with exceptional communication skills.

  • Strong knowledge of one or more scripting languages (e.g., Go, JavaScript, Python, etc.)

  • Deep technical knowledge across multiple domains
  • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

Preferred qualifications, capabilities, and skills

  • Exposure to managing budgets

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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