Jobs in the United States

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Technical Program Manager (Draft)
Insight Global
Long Beach, CA
Serve as the primary liaison between Thermal Engineering and cross-functional teams including vehicle program management, product development, manufacturing, purchasing, and supply chain.
Added just now
Closures Systems Engineer
Ford Motor Company
Long Beach, CA
…end-to-end organization, we turn ideas into high-quality vehicles, software and experiences across gas, hybrid and electric, designed around what customers…
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Software Engineer, Product - Central Integrity
Meta
Menlo Park, CA
Provide technical guidance and mentorship, lead design and code reviews, and build alignment across teams while remaining hands-on in engineering delivery
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Software Engineer, Product - Ads Infra and Ranking
Meta
Menlo Park, CA
Lead complex product engineering projects across application and service boundaries, coordinating dependencies with platform partners.
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Materials Engineer, Engine Design
Toyota
Costa Mesa, CA
- $119,400 to $194,000 USD / year
A high level of computer and engineering software literacy.
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Hardware Engineering Manager
The Boeing Company
El Segundo, CA
The Boeing Company is seeking a highly motivated Hardware Engineering Manager to lead the development and sustainment of Special Test Equipment (STE) in El Segundo, CA , supporting Boeing…
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Sr. Hardware Development Engineer, AWS Board Core Design and Services Team
Amazon
Cupertino, CA
AWS Hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware to the next level. As a Senior Hardware Development…
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Partner Engineer, Device Platform Operations, YouTube
Google
San Bruno, CA · Mountain View, CA
In this role, you will have the opportunity to lead projects and teams that require close collaboration with other teams like Product, Engineering, Business Development, and Operations. You…
Added 1 min ago
Sr. Product Manager – Technical, Audio Wearables, Alexa Personal Devices
Amazon
Sunnyvale, CA
n this role you will own product definition, development, and launch - accountable end to end for how the product comes together for the customer, from hardware and audio to the app, UX,…
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Sr. eSDE - BSPLinux, HW Compute Group
Amazon
Sunnyvale, CA
We are looking for a Sr Embedded Software Development Engineer to help design, develop, and integrate our next generation devices. In this role you will work with customers, system…
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Sr. Mgr., Quality Engineering Management, Amazon Devices Quality
Amazon
Sunnyvale, CA
The Senior Manager, Quality Engineering Manager (QEM) is responsible for leading a team of Quality Engineering Managers and ensuring that our products meet the expectations of our…
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Sr. Security & Test Engineer - Device OS (PKI & Firmware Security)
Fiserv
Sunnyvale, CA
…small businesses worldwide with integrated smart hardware, software, and secure payment solutions.In this role, you will join the DeviceOS Quality & Security Engineering team, which owns…
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Senior Staff Software Engineer, NetSoft UTL, Google Global Infrastructure
Google
Sunnyvale, CA
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and…
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Principal Architect, Enterprise Architecture
American Express
Sunnyvale, CA
- $219,000 to $338,250 USD / year
Governance & Testing : defining architecture standards, governing critical technology decisions, embedding engineering quality through testing, and continuously measuring architecture…
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Director-Digital Product Management - Enterprise AI Platforms
American Express
Sunnyvale, CA
- $144,250 to $256,250 USD / year
Lead the product lifecycle from discovery through delivery in close partnership with Engineering, Architecture, and Forward-Deployed Engineering teams.
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AE
Campus Undergraduate Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Sunnyvale, CA
American Express
Sunnyvale, CA
- $24.05 to $63 USD / hour
…services. Interns may be aligned to scrum teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data oriented engineering, or full-stack…
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SoC Design Verification and Methodology Senior Manager, Silicon Engineering
Google
Sunnyvale, CA
As a Senior Manager, System on a Chip (SoC) Design Verification and Methodology for Google's TPU designs, you will lead a team and own the functional verification for key components by…
Added 1 min ago
Software Engineer, Infrastructure - Ads Infra and Ranking
Meta
Sunnyvale, CA
Lead complex systems projects from design through production rollout, coordinating dependencies across infrastructure and ML engineering partners.
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Sr. Software Engineer, AWS Global Accelerator, AWS Global Accelerator
Amazon
Santa Clara, CA
5+ years of non-internship professional software development experience
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Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Applied Materials
Santa Clara, CA
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, data quality and…
Added 1 min ago
08 - Lead Engineer, Hardware Design
Celestica
San Jose, CA
The Lead Engineer, Hardware Design works with cross functional teams with other designers, customers, manufacturing engineering and project leadership to ensure robust and high quality…
Added 1 min ago
Software Engineer
Highmark Health
Sacramento, CA
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, unit testing, code reviews, source…
Added 1 min ago
Manager, Software Engineering
Torstone Technology Limited
United States
As a Manager, Software Engineering, you will lead engineering teams responsible for developing, modernising and supporting digital wealth-management capabilities used by financial…
Added 1 min ago
AA
Team Lead - Data Modeling
ARI Automotive Rentals Inc
Remote, United States
- $105,050 to $149,700 USD / year
Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field
Added 1 min ago
Senior Manager, Knowledge & Context Architecture
Teradata
Sacramento, CA
…Teradata's Worldwide Knowledge & Context Architecture team. You will lead architecture activities across the Americas, working with strategic customers, prospects and account teams to…

Qnity

Senior AI Engineer

Wilmington, DE, United States

Apply on careers.qnityelectronics.com About employer

Applications open in a new tab.

Job details

Experience: 1+ years of experience building and deploying production AI and machine learning systems.
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.

Senior AI Engineer

Qnity is accepting applications for a full-time Senior AI Engineer position based at one of Qnity’s main campuses in Wilmington, Delaware, USA. For engineers who want to take generative AI beyond experimentation and into daily production use, this is an exciting opportunity 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 data scientists, operations scientists, and Digital and IT teams engaged in a variety of manufacturing and business activities, building the agentic AI and enterprise retrieval capabilities these teams depend on.

Generative AI, agent orchestration, and enterprise search are becoming core to business operations, creating opportunities to contribute across:

Enterprise agentic AI platform architecture
Retrieval-augmented generation (RAG) over proprietary technical and business content
Multi-agent automation for business and manufacturing workflows
Secure, permission-aware enterprise data access
Production deployment, evaluation, observability, and AI cost optimization

A strong candidate will bring modern AI engineering expertise in LLM application design, retrieval and ranking, agent orchestration, prompt engineering, evaluation, and machine learning. The role requires strong Python skills to prepare and index data, build and serve models and agents, and create clear documentation and demonstrations.

The Senior AI Engineer will also plan delivery, lead technical work, communicate with business stakeholders, integrate with data engineering and software teams, deploy production solutions, and coach the broader community.

Key Responsibilities

Partner with business stakeholders to define use cases, scope, and success criteria, and translate business problems into AI, machine learning, or computer vision solutions.
Lead end-to-end AI delivery, including architecture, technical direction, code quality, deployment, operations, reliability, performance, and cost.
Architect and operate the enterprise agentic AI platform on Azure AI Foundry, optimizing models, orchestration, retrieval, evaluation, latency, scale, and cost.
Design enterprise RAG over SharePoint and Microsoft 365 content using Microsoft Graph, permission-aware ingestion, embeddings, metadata, re-ranking, and access-controlled search.
Build Copilot Studio agents, custom connectors, Microsoft 365 Copilot and Teams agents, MCP servers, and function-calling tools for governed enterprise actions.
Design multi-agent patterns, including orchestrator-worker delegation, sequential and concurrent execution, handoff, collaboration, state management, and memory.
Develop and evaluate AI applications for knowledge discovery, workflow automation, quality improvement, process monitoring, defect detection, and operational efficiency.
Collaborate with data engineering, software, and digital teams to integrate enterprise data, build scalable pipelines, and deliver production solutions through CI/CD.
Set enterprise AI engineering standards, reusable architecture patterns, and design-review practices that reduce production risk.
Communicate results, coach engineers and data scientists, and drive adoption through responsible AI, user feedback, and continuous improvement.

Required Skills & Education

Bachelor’s degree or higher in data science, computer science, engineering, or a related technical field.
1+ years of experience building and deploying production AI and machine learning systems.
Strong Python development skills, with SQL/NoSQL experience. Java or R experience is a plus.
Hands-on Azure AI experience, including Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence, Agent Service, Prompt Flow, evaluation, embeddings, and content safety.
Advanced RAG and search skills, including Azure AI Search, hybrid/vector retrieval, semantic ranker, chunking, metadata filtering, re-ranking, and document-level security trimming.
Experience with Microsoft Graph, SharePoint Online, Microsoft 365 content, Entra ID app registrations, delegated/application permissions, and ACL-based access control.
Copilot and agent extensibility experience with Copilot Studio, Microsoft 365 Copilot and Teams agents, MCP servers, custom connectors, function-calling tools, Adaptive Cards, Graph connectors, and governed enterprise integrations.
Agent orchestration experience with Microsoft Agent Framework, Semantic Kernel, Azure AI Foundry Agent Service, LangChain/LangGraph, planner-executor patterns, ReAct loops, tool calling, and guardrails.
Applied ML, NLP, and computer vision foundation, including supervised and unsupervised learning, feature engineering, transformers, deep learning, object detection, and image segmentation.
Production AI engineering experience with LLMOps/MLOps, evaluation, regression testing, observability, tracing, CI/CD, Docker, Kubernetes, Azure DevOps, Azure Functions, AKS/Container Apps, API Management, Key Vault, Application Insights, and Azure Monitor.
Working knowledge of enterprise AI security and governance, including permission trimming, data residency, Purview sensitivity labels, DLP, responsible AI, prompt-injection defenses, and cost controls.
Strong technical leadership, architecture review, mentoring, stakeholder communication, and delivery ownership skills.

Preferred Experience

Experience in manufacturing, semiconductor, specialty materials, or operational technology environments.

Living the Qnity ValuesAt 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

Python
Data engineering
Microsoft Azure
Microsoft SharePoint
Microsoft 365
Microsoft Teams
CI/CD
Process improvement
Computer science
Machine learning
SQL
NoSQL
LangChain
ML
Natural language processing
Deep learning
Docker
Kubernetes
DevOps
Leadership
Coaching
Communication skills
Improve business processes
Compensation and benefits

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Work requirements

Jobs in the United States