AI Engineer - Graduate
About The Position
Thales is seeking an AI Engineer Graduate to join its engineering team in Orlando, Florida, and support the development of applied AI solutions that improve the inflight passenger experience and support internal business and engineering initiatives. The role calls for foundational knowledge of AI technologies, cloud platforms, software development practices, and Agile methodologies, along with a strong interest in growing expertise in AI engineering and intelligent automation. The engineer will contribute to the design, development, testing, deployment, and support of AI-enabled applications across cloud and edge environments, gaining experience throughout the software development lifecycle and with modern AI technologies. Under the guidance of senior engineering team members, the role includes researching, implementing, testing, documenting, deploying, and maintaining new and existing solutions. Success requires problem-solving, accountability, collaboration, and adaptability in a fast-paced engineering environment. The position is based in Orlando, Florida, with a hybrid work arrangement. The schedule is core business hours, Monday through Friday, on a 9/80 shift B schedule. The work environment is primarily an R&D lab.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related technical field, awarded within the two years preceding application.
- 0–2 years of 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 developing modern applications using APIs and web technologies.
- Experience working 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 and seek guidance for complex technical challenges.
- Strong written and verbal communication skills and ability to work effectively in a collaborative team environment.
- Commitment to software engineering best practices, secure coding principles, and continuous learning.
- Must be legally authorized to work in the United States for any employer at the time of hire; the position is not eligible for visa sponsorship or assumption of employment visa sponsorship.
Responsibilities
- Contribute to the design, development, testing, deployment, and support of AI-enabled applications and services.
- Develop and maintain AI solutions, including Retrieval-Augmented Generation (RAG) applications, intelligent automation capabilities, agent-based workflows, and orchestration solutions, under the guidance of senior engineers.
- Collaborate with engineering, product, platform, and business teams to understand requirements and help deliver AI solutions addressing operational and customer needs.
- Participate in code reviews, design discussions, sprint planning, and Agile development activities.
- Support implementation of AI security, governance, privacy, and responsible AI practices by following established standards, processes, and technical controls.
- Develop reusable components, tools, and automation capabilities to improve development efficiency, quality, and consistency across AI initiatives.
- Stay current with emerging AI technologies and contribute ideas for continuous improvement and innovation.
- Assist 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.
Benefits
- Elective health, dental, vision, FSA/HSA, voluntary life and AD&D, whole group life with LTC, critical illness, hospital indemnity, accident insurance, legal plan, identity theft protection, and pet insurance.
- Retirement savings plan after 30 days of employment, with a company contribution and matching and no vesting period.
- Company-paid holidays and paid time off.
- Company-provided life insurance, AD&D, disability coverage, Employee Assistance Plan, and Well-being Program.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
