Find & Apply For Artificial Intelligence Engineer Jobs in Elkton, Maryland

Data Engineer/AI Solution Engineer Skills

• Recruiting
• Storage
• IaaS
• Research
• Performance Metrics
• Material Characterization
• Cloud Architecture
• Analytical Skill
• Authentication
• Authorization
• Database
• Predictive Analytics
• Functional Requirements
• Collaboration
• Augmented Reality
• Innovation
• Global Positioning System
• Computer Science
• Data Engineering
• Software Engineering
• Database Architecture
• PostgreSQL
• Machine Learning (ML)
• Decision Support
• Software Development
• Python
• Object-Oriented Programming
• C++
• Java
• Git
• Web Applications
• AngularJS
• React.js
• Access Control
• RBAC
• Data Flow
• Problem Solving
• Conflict Resolution
• Management
• Materials Science
• Testing
• Visualization
• D3.js
• Dashboard
• Continuous Integration
• Continuous Delivery
• GitHub
• DevOps
• Writing
• Microsoft Azure
• Terraform
• Cloud Computing
• Data Warehouse
• Analytics
• Databricks
• Snow Flake Schema
• Artificial Intelligence
• Workflow
• Software Design
• Microsoft
• Screening
• Recruiting
• Storage
• IaaS
• Research
• Performance Metrics
• Material Characterization
• Cloud Architecture
• Analytical Skill
• Authentication
• Authorization
• Database
• Predictive Analytics
• Functional Requirements
• Collaboration
• Augmented Reality
• Innovation
• Global Positioning System
• Computer Science
• Data Engineering
• Software Engineering
• Database Architecture
• PostgreSQL
• Machine Learning (ML)
• Decision Support
• Software Development
• Python
• Object-Oriented Programming
• C++
• Java
• Git
• Web Applications
• AngularJS
• React.js
• Access Control
• RBAC
• Data Flow
• Problem Solving
• Conflict Resolution
• Management
• Materials Science
• Testing
• Visualization
• D3.js
• Dashboard
• Continuous Integration
• Continuous Delivery
• GitHub
• DevOps
• Writing
• Microsoft Azure
• Terraform
• Cloud Computing
• Data Warehouse
• Analytics
• Databricks
• Snow Flake Schema
• Artificial Intelligence
• Workflow
• Software Design
• Microsoft
• Screening

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Summary Data Engineer/AI Solution Engineer Req Id:

2315

State/Province:

Delaware, Maryland City:

Elkton Business:

Gore Performance Solutions Category:

Engineering, Scientists & Technicians Sub-Category:

Engineering Experience Level:

Experienced Work Arrangement:

Hybrid Posting Start Date:

9/28/26

Posting End Date:

10/13/26 About the Role We are hiring a Data Engineer/AI Solution Engineer to join the Gore Performance Solution (GPS) Applied Research (AR) team and build the database architecture and AI/ML foundation needed to make Gore's materials, characterization, and fitness-for-use (FFU) data searchable, reusable, and ready for predictive analytics. In this role, you will take end-to-end technical ownership of the Gore materials data and its supporting storage platform

• from database architecture and data pipelines through cloud infrastructure, secure application access, and applied AI/ML.

You will partner closely with AR scientists and engineers, the Innovation team, and GPS IT to translate materials, process, and product data and knowledge into scalable digital solutions. This role is expected to grow into a shared GPS Innovation capability supporting multiple research and NPD programs. This position will be located at our facility in Elkton, Maryland or Newark, Delaware with the possibility of a hybrid work arrangement.

Pay and Benefits:

• $110,000
• $153,000 per year
• Roles above $150k are eligible for the variable pay program each fiscal year, based on defined business performance metrics.
• Factors considered in extending an offer within this pay range include (but not limited to) education, experience, knowledge, skills, and abilities.
• Medical, Dental and Vision benefits effective on Day 1 of employment! We offer a comprehensive total rewards package, including competitive benefits. More details are available at Responsibilities
• Design, build, and maintain PostgreSQL database architecture, including permissions, views, optimized query rules, and fine-grained access control.
• Develop standardized Python libraries and automated data-ingestion pipelines to capture materials, characterization, and fitness-for-use (FFU) testing data at scale.
• Build and maintain REST APIs and user-friendly access tools
• including web applications
• that make data, models, and AI-enabled tools available to scientists and engineers.
• Own the platform's cloud architecture and deployment on Microsoft Azure, including Azure Container Apps and Azure Static Web Apps, plus monitoring, scaling, and production configuration.
• Architect and build responsive frontend applications (Angular or React) that give researchers an intuitive, well-designed interface to data and analytical tools.
• Implement authentication and authorization using Microsoft Entra ID (App Registrations, tokens, and Entra Groups), extending role-based access control (RBAC) down to the database level.
• Partner with GPS IT to integrate security groups, pipelines, APIs, and applications into enterprise infrastructure with appropriate security, access controls, and long-term support.
• Set up automated CI/CD pipelines and Infrastructure as Code to enable reliable, repeatable deployment of the platform.
• Design and implement AI/ML-enabled workflows
• such as predictive analytics, process-structure-property models, and LLM-assisted tools
• that support faster, higher-quality NPD decisions.
• Translate complex materials science, characterization, and regulatory/quality requirements into structured data models, workflows, and system logic.
• Collaborate cross-functionally with AR scientists/engineers, the Innovation team, and GPS IT to identify opportunities, define requirements, and deliver scalable solutions.
• Document platform architecture and solutions, as well as establish reusable frameworks and standards to enable this capability to scale beyond the initial data family. Required Qualifications
• Bachelor's degree in Engineering, Computer Science, Data Engineering, Software Engineering, or a related technical field.
• Minimum of 1 year of demonstrated experience in database architecture and design, with solid proficiency in PostgreSQL, including permissions, views, optimized query rules, and access control.
• Minimum of 1 year of demonstrated experience developing AI/ML models or workflow-based automation/decision-support solutions.
• Software development experience in Python (or another general-purpose object-oriented language such as C++ or Java), and proficiency with Git.
• Experience building responsive, multi-page web applications with Angular or React.
• Hands-on experience with Microsoft Azure.
• Deep understanding of Microsoft Entra ID (Azure AD), including configuring App Registrations, tokens, and Entra Groups for Role-Based Access Control (RBAC).
• Experience developing and maintaining REST APIs, and comfort working with asynchronous execution states and data flows.
• Strong problem-solving skills and the ability to operate independently in ambiguous, cross-functional environments, influencing without direct authority.
• Ability to travel up to 5%. Desired Qualifications
• Familiarity with materials science, characterization methods, or fitness-for-use (FFU) testing data, ideally in a regulated or advanced-materials environment.
• Experience with web-based visualization tools such as vega-lite and D3, and building data-dense engineering dashboards.
• Experience setting up automated CI/CD pipelines (e.g., GitHub Actions or Azure DevOps).
• Experience writing Infrastructure as Code (IaC) using Azure Bicep or Terraform.
• Experience with cloud data warehouses and analytics engines such as Databricks or Snowflake.
• Experience with AI-assisted workflows, LLM-based tools, or prompt-driven solution design.
• Experience with Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
• Pr.

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