AI Engineer - Graduate

Thales is hiring an AI Engineer Graduate in Orlando, FL (Hybrid) to help build applied AI solutions for the inflight passenger experience and internal engineering initiatives.

Responsibilities

• Support the design, development, testing, deployment, and ongoing support of AI-enabled applications and services
• Develop and maintain AI solutions such as Retrieval-Augmented Generation (RAG) applications, intelligent automation capabilities, agent-based workflows, and orchestration solutions under the guidance of senior engineers
• Partner with engineering, product, platform, and business teams to understand requirements and help deliver AI solutions for operational and customer needs
• Participate in code reviews, design discussions, sprint planning, and Agile development activities
• Assist with AI security, governance, privacy, and responsible AI practices by following established standards, processes, and technical controls
• Create reusable components, tools, and automation capabilities to improve efficiency, quality, and consistency across AI initiatives
• Stay current with emerging AI technologies and contribute ideas for continuous improvement and innovation
• Help with monitoring, troubleshooting, and performance optimization to support reliable and scalable AI solutions
• Perform unit, integration, and automated testing to support secure, high-quality software releases
• Create and maintain technical documentation for AI applications, workflows, deployment processes, and operational support procedures

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related technical field awarded within the 2 years preceding the application
• 0–2 years experience in software engineering, cloud development, machine learning, AI engineering, or a related technical discipline
• Working knowledge of applied AI concepts and solution patterns, including RAG, agent-based workflows, orchestration frameworks, intelligent automation, and prompt engineering
• Foundational understanding of modern AI systems, including model evaluation, tool integration, guardrails, observability, and responsible AI principles
• Proficiency in Python and experience building modern applications using APIs and web technologies
• Experience with cloud platforms, preferably AWS, including familiarity with serverless architectures and AI/ML services
• Foundational knowledge of Infrastructure as Code (IaC), CI/CD pipelines, DevOps practices, and automated deployment concepts
• Ability to analyze technical problems, evaluate options, and implement effective solutions
• Ability to manage assigned work independently while seeking guidance for complex technical challenges
• Strong written and verbal communication skills; commitment to software engineering best practices, secure coding principles, and continuous learning

Technologies

• Retrieval-Augmented Generation (RAG)
• agent-based workflows
• orchestration frameworks
• intelligent automation
• prompt engineering
• Python
• APIs
• web technologies
• AWS
• serverless architectures
• AI/ML services
• Infrastructure as Code (IaC)
• CI/CD pipelines
• DevOps practices

Benefits

• Elective Health, Dental, Vision, FSA/HSA
• Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance
• Legal Plan, Identity Theft, and Pet Insurance
• Retirement Savings Plan after 30 days with a company contribution and match, with no vesting period
• Company paid holidays and Paid Time Off
• Company provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program

Location and Schedule

• Location: Orlando, United States of America (Hybrid)
• Schedule: Core business hours, Monday–Friday, 9/80 shift B
• Physical Environment: Primarily an R&D Lab environment

Salary: USD 86,365 - 143,942 per year

Education: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence