Location: Bangalore - Indraprastha, India
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.
- 4+ years of progressive experience in software engineering, cloud engineering, AI/ML engineering, or related technical disciplines.
- 3+ years of hands-on experience designing, developing, and deploying production-grade AI/ML solutions within enterprise or large-scale environments.
- Demonstrated experience contributing to technical architecture decisions and influencing engineering direction across cross-functional teams.
- Strong expertise in applied AI solution patterns including agentic architectures, Retrieval-Augmented Generation (RAG), orchestration frameworks, evaluation pipelines, and intelligent automation.
- Solid understanding of modern AI system concepts including memory management, planning, tool orchestration, model evaluation, guardrails, and responsible AI principles.
- Strong proficiency in Python and modern application development technologies including APIs, React, and TypeScript.
- Hands-on experience with AWS cloud technologies, including serverless architectures, infrastructure automation, and AI/ML services such as Amazon Bedrock.
- Experience implementing scalable cloud-native applications and distributed systems supporting AI workloads.
- Strong analytical and problem-solving capabilities with the ability to translate complex business needs into scalable technical solutions.
- Experience with infrastructure-as-code and DevOps practices using technologies such as Terraform, CI/CD pipelines, and automated deployment frameworks.
- Strong collaboration and communication skills with the ability to work effectively across technical and non-technical stakeholder groups.
- Experience supporting the development or scaling of enterprise AI platforms, shared AI services, or applied AI engineering capabilities.
- Familiarity with additional AI/cloud ecosystems such as Databricks, Microsoft AI platforms, or multi-cloud AI architectures.
- AWS certifications such as Solutions Architect, Machine Learning Specialty, or DevOps Engineer.
- Experience with MLOps practices including experimentation management, model lifecycle governance, deployment automation, and monitoring.
- Experience with vector databases, embeddings, semantic search, and knowledge graph architectures.
- Exposure to edge computing environments, embedded systems, or highly regulated technology environments.
- Experience working within aviation, aerospace, inflight entertainment, or other mission-critical technology industries..
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.
