Senior AI Engineer

Senior AI Engineer Skip to main content#Senior AI Engineer page is loaded## Senior AI Engineer Apply remote type:
Hybrid locations:
Orlando time type:
Full time posted on:
Posted Todayjob requisition :
R0329289

Location:

Orlando, United States of America Thales people architect solutions that enable two-thirds of planes to take off and land safely. We create in-flight entertainment systems that engross 50 million fliers every year and we develop the avionics that control the world’s largest commercial aircrafts. Our simulators train the next generation of pilots for fighter jets, transporters and search and rescue helicopters.

And, together, each and every member of our aerospace team makes a difference.

When you rely on airlines to connect you in flight, you rely on Thales. In an increasingly fast paced world, we make the unpredictable, predictable by connecting and entertain passengers to make your life better. Combining a diversity of talents, we master the decisive moments that matter to passengers and airlines. Whatever it takes.
** Senior AI Engineer
** Orlando, FL (Hybrid)
** Position Summary
** Thales is looking for a
** Senior*
* ** AI Engineer
** to serve as a senior technical contributor within the Thales InFlyt Experience ecosystem, leading the design, development, and operationalization of advanced applied AI solutions that enhance the inflight passenger experience for millions of travelers worldwide. This role combines deep hands-on engineering expertise with technical leadership responsibilities to drive scalable, secure, and production-ready AI capabilities across cloud and edge environments.

Operating with a high degree of autonomy, the Senior AI Engineer architects and delivers enterprise-grade AI systems, including agentic workflows, Retrieval-Augmented Generation (RAG) platforms, orchestration frameworks, and intelligent automation solutions. You will partner closely with engineering, product, platform, cybersecurity, and business stakeholders to align AI capabilities with strategic priorities, customer needs, operational scalability, and responsible AI  this position, you will also contribute to the evolution of the organization’s AI architecture, engineering standards, and platform capabilities while providing technical guidance and mentorship across engineering teams.

As the Senior AI Engineer, you will play a key role in accelerating AI adoption, enabling innovation, and improving business outcomes through scalable and maintainable AI-driven solutions.
** Key Areas of Responsibility
*** Contribute to the definition and evolution of enterprise AI architecture strategies, scalable design patterns, frameworks, and engineering standards supporting applied AI initiatives across the organization, while influencing platform, infrastructure, and integration decisions to support long-term scalability, maintainability, and alignment across AWS cloud and edge-based deployments.
* Lead the end-to-end delivery of AI solutions, including problem definition, architecture selection, software development, infrastructure design, deployment, observability, and continuous optimization within production environments.
* Architect, develop, and operationalize advanced AI systems, including agentic AI architectures, RAG pipelines, orchestration frameworks, human-in-the-loop solutions, and intelligent automation capabilities, while designing and developing reusable AI frameworks, accelerators, and engineering components to improve consistency, speed, scalability, and quality across AI initiatives.
* Partner with cross-functional stakeholders across engineering, product, platform, operations, and business teams to identify high-value AI opportunities and translate business requirements into scalable technical solutions, while collaborating with technical and business leadership to support AI adoption initiatives, roadmap discussions, and strategic innovation efforts.
* Contribute to AI governance, security, and compliance practices, including model evaluation frameworks, responsible AI standards, data privacy considerations, risk mitigation, and operational guardrails, and drive AI system observability and…