Technical Solution Architect

Job Title: Technical Solution Architect

Job Summary

Key Responsibilities :-

• Architect the design of AI and LLM solutions across airline functions, integrating with core systems.

• Translate business needs into scalable, secure AI and ML architectures on Azure, AWS, or GCP platforms.

• Design and implement architectures leveraging LLMOps, retrieval-augmented generation (RAG), prompt chaining, agent frameworks, and vector DBs.

• Drive MLOps and DevSecOps practices for AI model development, deployment, and governance.

• Collaborate with leaders, product owners, data scientists, and engineers to ensure delivery of robust AI solutions aligned with airline KPIs.

• Lead solution reviews and ensure architecture adheres to enterprise standards and security policies.

• Prototype and implement reusable AI components and frameworks for cross-business reuse.

• Track industry advancements (agentic AI, GenAI, intelligent forecasting) and evaluate their application within the enterprise ecosystem.

Skills & Qualifications :-

• Bachelor's or Master's degree in Computer Science, Engineering, or related field is mandatory.

• Hands-on experience designing cloud-native architectures using AWS, Azure, and GCP.

• Proficiency with microservices, APIs, serverless architecture, containerization (Docker, Kubernetes), and database design (SQL, NoSQL).

• Strong grounding in agile development, CI/CD pipelines, DevSecOps, and test automation.

• Experience with AI/ML and GenAI systems including LangChain, vector DBs, PyTorch/TensorFlow, and cloud-native AI services.

Preferred Experience and Attributes :-

• Direct experience in airline or travel-tech environments such as revenue systems, fare engines, or etc.

• Familiarity with emerging technologies (RAG pipelines, autonomous agents, and hybrid-cloud AI orchestration).

• Innovative mindset with a track record of delivering scalable, enterprise-grade systems in fast-moving environments.