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Ai Platform Engineer Jobs in Delaware (NOW HIRING)

Luxoft

AI & Platform Software Engineer

Wilmington, DE · On-site

$110 - $150/hr

... Platform & Enablement organization (governed AI gateway on Azure API Management, model access via ... Because the engineering foundations overlap heavily, all Software Engineer III openings across both ...

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 ...

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 · 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 ...

Teradata Corporation (SE)

Senior AI Engineer

Dover, DE · On-site

$143.50 - $215.20/hr

  • Medical

  • Life

  • Retirement

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data ... What You'll Do As a Senior AI Engineer, you will be a key contributor to our internal engineering ...

Luxoft

GenAI Platform Engineering Team Lead

Wilmington, DE · On-site

$180 - $240/hr

Project description The GenAI Platform Engineering Team Lead is the hands-on engineering leader of the team that builds and operates client's enterprise GenAI platform: the governed AI gateway, model ...

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Wilmington, DE · On-site +1

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement reusable platform accelerators including APIs, templates, and feature engineering patterns that enable self-service analytics and AI across domains. MINIMUM QUALIFICATIONS:

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Wilmington, DE · On-site +1

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement reusable platform accelerators including APIs, templates, and feature engineering patterns that enable self-service analytics and AI across domains. MINIMUM QUALIFICATIONS:

Luxoft

GenAI Solutions Architect

Wilmington, DE · On-site

$180 - $240/hr

Serve as the consulting architect for AI use‑case teams across the bank: shape solution designs ... Partner with platform engineering on the evolution of platform capabilities based on real ...

Berkley

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

Berkley

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services ... Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Delaware

Ai Platform Engineer information

See Delaware salary details

$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 14, 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

AI & Platform Software Engineer

Luxoft

Wilmington, DE • On-site

$110 - $150/hr

Other

Posted 11 days ago

Job description

Project description

Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform & Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank’s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.


Responsibilities

  • Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.

  • Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities.

  • Work within the bank’s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.

  • Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.

  • Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end.

  • Participate in support rotations for live workloads with incident triage and root-cause discipline.


SKILLS
Must have

  • SE III (61 IC): Associate’s + 7 years or Bachelor’s + 5 years systems analysis/application development experience (or combined 9 years).

  • SE II (60 IC): Associate’s + 5 years or Bachelor’s + 3 years equivalent experience (or combined 7 years).

  • Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.

  • Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).

  • Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.

  • Experience delivering and operating production systems in a controlled-change environment.

  • Strong communication, collaboration, documentation, and stakeholder engagement skills.


Nice to have

Demonstrated depth in one or more tracks above — candidates are routed by strongest track fit across both organizations. Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations. Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling. Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.

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