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Qnity

Senior AI Engineer

Wilmington, DE, United States

Apply on careers.qnityelectronics.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Qnity is accepting applications for a full-time Senior AI Engineer position at one of Qnity’s main campuses in Wilmington, Delaware. This is an exciting opportunity for an experienced artificial intelligence and backend software engineering professional to join a growing team that plays a vital and dynamic role in the company.

Qnity is a market leader in specialty materials for electronic devices and microchip fabrication. In this role, the Senior AI Engineer will collaborate with business, engineering, cloud platform, data engineering, and digital technology teams to architect, develop, integrate, deploy, and operate enterprise artificial intelligence platforms and backend systems.

AI and software engineering are integral to Qnity’s digital transformation, with opportunities for senior-level contributions in:

Enterprise AI platforms, agent orchestration, retrieval-augmented generation (RAG), and application integration
Python and FastAPI backend services, APIs, and data pipelines
Machine learning, deep learning, and computer vision solutions

The successful candidate will have experience delivering secure, production-grade AI applications and translating business requirements into reusable architectures, backend services, APIs, data pipelines, and cloud solutions. The role combines generative and agentic AI, retrieval-augmented generation, deep learning, computer vision, and backend software engineering. The candidate will provide technical leadership across design, development, testing, deployment, monitoring, security, performance, and continuous improvement.

Key Responsibilities

Architect and maintain AI platforms and backend services using Python, FastAPI, microservices, REST APIs, asynchronous processing, and secure integration patterns.
Define and implement the architecture for Qnity’s enterprise agentic AI platform using Microsoft Foundry, Azure AI Agent Service, and Microsoft Agent Framework, with reusable service, orchestration, security, and governance patterns.
Design, build, deploy, and support generative AI agents and retrieval-augmented generation solutions for enterprise knowledge use cases, integrating structured and unstructured data through semantic, vector, hybrid, metadata-filtered, and permission-aware search.
Develop computer vision and deep learning applications for image and video analysis, including object detection, tracking, feature extraction, anomaly detection, and model evaluation.
Implement identity, access control, secrets management, automated testing, deployment automation, logging, monitoring, performance, and reliability controls using Microsoft Azure cloud engineering and security practices.
Partner with business, scientific, software, data engineering, information security, and cloud teams to define requirements, prototype solutions, resolve integration and production issues, document architectures and APIs, and guide technical delivery.

Required Skills & Education

A bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a closely related field, plus at least one year of progressive experience in AI engineering, backend software development, machine learning engineering, data engineering, or related enterprise technology development.
Strong knowledge of AI system design, agent orchestration, machine learning, natural language processing, software architecture, API design, distributed systems, cloud security, CI/CD, observability, performance optimization, production reliability, and cross-functional technical communication.
Experience with Microsoft Azure technologies, including Azure OpenAI, AI Search, Function Apps, App Service, Blob/Data Lake Storage, Key Vault, Application Insights, Entra ID, RBAC, and managed identities.
Experience building enterprise data solutions using Azure Cosmos DB, SQL Server, MongoDB, Databricks, Apache NiFi, document repositories, APIs, and cloud storage.
Strong Copilot and agent extensibility experience with Copilot Studio, Microsoft 365 Copilot/Teams agents, MCP servers, custom connectors, function-calling tools, Adaptive Cards, Graph connectors, and governed enterprise integrations.
Advanced Python and SQL skills, with experience in FastAPI, microservices, REST APIs, asynchronous applications, data validation, automated testing, and enterprise integrations.
Hands-on experience designing and deploying generative AI, agentic AI, retrieval-augmented generation (RAG), enterprise search, and Copilot or agent extensibility solutions using modern AI platforms, frameworks, model services, and tool-integration patterns.
Hands-on experience with computer vision and deep learning using PyTorch or TensorFlow, YOLO, OpenCV, convolutional neural networks, object detection, tracking, image or video processing, and model evaluation.
Experience with CI/CD, automated testing, source control, observability, application security, performance optimization, and production support using Azure DevOps or GitHub.
Strong communication skills, with the ability to translate business requirements into technical designs and collaborate with software, data, security, cloud, and business teams.

Living the Qnity Values At Qnity, success is measured not only by what we achieve, but also by how we achieve it.

Customer: Partner with stakeholders to understand needs, solve business challenges, and deliver meaningful outcomes.
Innovation: Continuously improve processes, technologies, and ways of working.
Speed: Act with urgency, focus, and precision to move work forward and deliver results.
People: Build trusted relationships, collaborate across teams, and inspire positive change.

Join our Talent Community to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.

Apply on careers.qnityelectronics.com About employer

More about this job

Skills

Data engineering
Python
Leadership
Process improvement
Microservices
API development
Microsoft Azure
Unstructured data
Test automation
Cybersecurity
Computer science
Artificial intelligence
Machine learning
Software development
Natural language processing
CI/CD
Communication skills
Microsoft SQL Server
MongoDB
Databricks
Microsoft 365
Microsoft Teams
SQL
Deep learning
PyTorch
TensorFlow
Improve business processes
Compensation and benefits

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Jobs in the United States