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Ai Engineer Jobs in Delaware (NOW HIRING)

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

$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

$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 ...

JPMorgan Chase & Co.

$140 - $190/hr

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and Community Banking team, you are an integral part of an agile team that works to enhance, build, and deliver ...

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Ai Engineer information

See Delaware salary details

$39K

$101.8K

$137.6K

How much do ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai engineer in Delaware is $101,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $116,600.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

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

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

What are popular job titles related to Ai Engineer jobs in Delaware?

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

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

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

What cities in Delaware are hiring for Ai Engineer jobs?

Cities in Delaware with the most Ai Engineer job openings:

Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in Delaware as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $101,840 per year, or $49 per hour.

AI Governance Engineer - Standards & Controls

Luxoft

Wilmington, DE • On-site

$140 - $190/hr

Other

Posted 7 days ago

Job description

Project description

The AI Governance Engineer is the technical production engine behind the bank's AI standards and controls build-out. Working under the direction of the AI Governance & Controls Lead, this role drafts the standards library, engineers controls as implementable and testable requirements, builds control-to-evidence mappings, and produces the documentation and automation that make governance operational rather than aspirational.This is a technical governance role, not a policy-writing role alone: the engineer works directly with platform capabilities (gateway policies, entitlements, logging), expresses controls in verifiable terms, contributes to policy-as-code and evidence automation where feasible, and validates that what the standard requires is what the platform enforces.

Responsibilities
  • Standards & Controls EngineeringDraft and iterate the AI standards library under the Lead's direction: model onboarding and approval, oversight tiers, logging/retention, agentic guardrails, data-classification handling, and acceptable use.Engineer each control as a testable requirement: definition, enforcement point, owner, evidence artifact, and validation method.Build and maintain obligation-to-control-to-evidence mappings against regulatory guidance and internal policy.Contribute to policy-as-code and controls-automation approaches with the platform team where controls can be enforced or checked mechanically.Evidence & Assessment ProductionProduce evidence artifacts, control attestations, and assessment documentation for deviations, exceptions, and governance reviews.Validate platform-generated evidence (audit logs, entitlement records, quota enforcement) against control requirements; document gaps and drive fixes.Support deviation and exception lifecycle management: drafting, compensating-control documentation, tracking, and closure evidence.Assemble components of examiner-readiness and audit-response packages.Governance Operations SupportSupport AI Control Group, working group, and committee operations with prepared materials, assessments, and documented decisions.Maintain the AI use case and agent registry data quality in partnership with intake and platform onboarding.Document governance processes, runbooks, and templates in bank repositories for FTE handover.Transfer working knowledge to bank FTEs throughout the engagement.

SKILLSMust have
  • Minimum of 5 years' experience in technology governance, IT risk/controls, security governance engineering, or compliance engineering in a technology environment.Demonstrated experience writing technical standards, control frameworks, or control documentation that maps to regulatory or policy obligations.Working technical knowledge of cloud platforms and modern application patterns: APIs and gateways, identity/RBAC, logging and monitoring, environment separation.Familiarity with AI/GenAI systems sufficient to write accurate, enforceable requirements for model access, oversight, and logging.Strong technical writing and documentation discipline; able to produce artifacts that survive audit and second-line challenge.Experience with GRC processes: exceptions, findings, evidence collection, and remediation tracking.

Nice to have

Financial services or other highly regulated industry experience; familiarity with model risk management concepts.Experience with policy-as-code, compliance automation, or controls testing automation.Familiarity with NIST AI RMF, SR 11-7/SR 26-2 lineage, or comparable AI governance frameworks.Azure experience (APIM, Entra ID, Azure Monitor, Key Vault)

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