ThalesAI Engineer
Thales is hiring an AI Engineer in Bengaluru, India. Level rates it ; you can apply on Thales.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- Tools and skills the posting cites include Java, JavaScript and React.
- Level classifies it as a mid-level role.
- Level lists 3,300+ other open roles at Thales.
AI in this role
AI Engineer needed to build modern web applications leveraging advanced AI solution patterns, agentic architectures, and RAG pipelines.
Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.Mandatory Skills
- Programming languages: Strong proficiency in Java and JavaScript
- Software architecture: Good experience with modern microservices architecture and REST APIs
- Applied AI expertise: Strong experience in AI solution patterns, including:
- Agentic architectures
- RAG pipelines
- Orchestration frameworks
- Evaluation pipelines
- Intelligent automation
- Modern AI system concepts: Understanding of:
- Memory management
- Planning
- Tool orchestration
- Model evaluation
- Guardrails
- Responsible AI principles
- Frontend framework: Strong proficiency in React
- Backend framework: Strong proficiency in Spring Boot
- Database: Good experience with PostgreSQL
- Development practices: Familiarity with the software development lifecycle and tools/methodologies (e.g., Git, Agile)
- Team & mindset: Autonomy, technical excellence, communication, teamwork, problem-solving, adaptability, curiosity, continuous improvement
- undefined
- undefined Desired Skills
Good experience developing modern web applications using React + Spring BootGood experience with Test-Driven Development (TDD)Strong understanding of Object-Oriented Concepts, Data Structures, and AlgorithmsGood experience preparing technical documentationExperience setting up GitLab CI/CD pipelinesExperience implementing AI-assisted development workflows (automation, code generation, AI-assisted review/quality gates)
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
How we rate this
AI Engineer at Thales rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $186k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where agentic architectures was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI Automation, AI Evaluation, AI Safety, and Agentic Architectures. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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