At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO

• An excellent retirement savings plan with high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity:

We currently have an opportunity for an Artificial Intelligence Engineer. This position works out of our Plano, TX location in the Neuromodulation Division.   Our Neuromodulation business includes implantable devices compatible with mobile technology to help people who suffer from chronic pain and movement disorders. These non-opioid therapies allow us to provide interventional pain therapy to patients throughout the pain continuum. The AI Full Stack Engineer is responsible for ensuring that our systems and applications align with business needs and requirements in their structure, function, and overall efficiency. This role focuses on designing, enhancing, and implementing full-stack solutions that leverage AI technologies to optimize performance and automation across the entire stack. The engineer plays a crucial role in creating and maintaining technology standards, driving architectural best practices, and ensuring the seamless integration of AI-powered solutions that streamline processes and enhance product capabilities.

What You’ll Work On

• Develop AI-Powered Full-Stack Solutions: Design and build cutting-edge full-stack applications with an emphasis on integrating AI technologies (such as machine learning models and LLMs) to optimize system performance, automate processes, and enhance decision-making.

• End-to-End System Design: Collaborate with cross-functional teams to define the architecture of scalable and reliable systems, focusing on data flow, memory management, and cache optimization while leveraging AI analytics for predictive performance tuning.

• AI Integration and Automation: Work closely with the business to translate requirements into AI-driven system designs that improve operational efficiencies through automation, predictive insights, and intelligent data handling.

• Full Stack Development: Lead the development of web applications and services using front-end technologies (such as React, Tailwind, and Bootstrap) and back-end frameworks (such as Spring Boot, Django, and Node.js), ensuring seamless integration with AI-driven features.

• Data Management and Analytics: Utilize AI-powered tools to enhance data processing, predictive modeling, and analytics, ensuring optimal system performance and efficiency across the entire stack.

• Optimize Engineering Efficiencies: Drive engineering and architectural best practices by leveraging AI and LLM technologies to reduce manual interventions, improve workflows, and automate routine processes.

• Collaborate Across Teams: Work with product management, development, quality, and operations teams to create innovative, AI-driven solutions that align with business strategies and technical requirements.

• Mentorship and Leadership: Mentor engineers and provide technical leadership on AI integration, full-stack architecture, and development best practices. Share knowledge on how to optimize full-stack systems through AI and machine learning.

• Monitor and Report Trends: Keep senior management informed on the latest trends in AI, full-stack development, and automation technologies. Highlight how these can be applied to improve system efficiencies and drive business value.