Lead the end-to-end architecture of a next-generation platform for aviation products, leveraging AI and modern cloud-native technologies.
Drive technology choices and architectural decisions, prioritizing scalability, security, performance, and maintainability.
Collaborate with cross-functional teams including engineering, product, and data science to translate business requirements into robust technical solutions.
Integrate GenAI capabilities to enhance platform intelligence, automation, and user experience.
Champion technology agnostic approaches, evaluating and recommending best-fit solutions across diverse tech stacks.
Stay abreast of industry trends, emerging technologies, and regulatory requirements within the aviation sector.
Mentor and guide junior architects and engineers, fostering a culture of innovation and excellence.
Ensure architectural compliance with aviation industry standards and best practices.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years’ experience in platform architecture, with a focus on designing complex, distributed systems.
Strong exposure to Generative AI concepts, frameworks, and practical implementations.
Demonstrated ability to work across multiple technologies, frameworks, and cloud ecosystems (AWS, Azure, GCP, etc.).
Excellent analytical, problem-solving, and communication skills.
Experience in the aviation domain (products, platforms, or operations) is a significant advantage.
Proven leadership skills and experience managing technical teams.
Deep understanding of security, compliance, and regulatory requirements in aviation or similar industries.
Preferred Skills
Hands-on experience with GenAI tools, APIs, and integration strategies.
Knowledge of aviation data standards and protocols.
Experience with microservices, containerization (Docker, Kubernetes), and DevOps practices.
Strong stakeholder management and influencing skills.
Ability to balance innovation with pragmatic delivery in highly regulated environments.
