AI Engineer - Graduate

The AI Engineer - Graduate role at Thales supports the development of applied AI solutions aimed at improving inflight passenger experience and advancing internal business and engineering initiatives. This hybrid position in Orlando spans the software development lifecycle for AI-enabled applications across cloud and edge environments.

Key Responsibilities

• Contribute to the design, development, testing, deployment, and support of AI-enabled applications and services, including Retrieval-Augmented Generation (RAG) applications, intelligent automation capabilities, agent-based workflows, and orchestration solutions, under the guidance of senior engineering team members.
• Work with engineering, product, platform, and business teams to understand requirements and support delivery of AI solutions for operational and customer needs, including participation in code reviews, design discussions, sprint planning, and Agile development activities.
• Assist in implementation of AI security, governance, privacy, and responsible AI practices by following established standards, processes, and technical controls.
• Build reusable components, tools, and automation capabilities to improve development efficiency, quality, and consistency across AI initiatives, while staying current with emerging AI technologies and contributing to continuous improvement.
• Support monitoring, troubleshooting, and performance optimization to enable reliable and scalable AI solutions, including 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.

Required Qualifications

• 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 application.
• 0 to 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 Retrieval-Augmented Generation (RAG), agent-based workflows, orchestration frameworks, intelligent automation, and prompt engineering, along with foundational understanding of modern AI systems such as model evaluation, tool integration, guardrails, observability, and responsible AI principles.
• Proficiency in Python and experience developing 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; capable of managing assigned work independently while seeking guidance for complex technical challenges.
• Strong written and verbal communication skills with the ability to collaborate effectively, paired with 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

Compensation

USD 86,365 - 143,942 per year.

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 of employment with a company contribution and a 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

Work 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.