Chief VLM AI Architect Engineer
TravelFlap is seeking a Chief VLM AI Architect to build a proprietary multimodal AI engine for the global travel industry. The role involves designing and optimizing architectures for vision-language models to automate travel workflows like visual search and fraud detection. Candidates must possess deep expertise in multimodal systems, LLMs, and high-scale enterprise engineering. The position requires managing global teams and overseeing cloud-native AI infrastructure.
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Experience
15+ years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
TravelFlap is seeking a Chief VLM AI Architect to build a proprietary multimodal AI engine for the global travel industry. The role involves designing and optimizing architectures for vision-language models to automate travel workflows like visual search and fraud detection. Candidates must possess deep expertise in multimodal systems, LLMs, and high-scale enterprise engineering. The position requires managing global teams and overseeing cloud-native AI infrastructure.
TAL's take
High-level architectural role in a mid-tier travel tech company; scope is broad and potentially over-ambitious, but clearly defined in technical requirements.
Role description covers many domains and technologies, making it somewhat broad, though the focus on VLM/AI architecture remains consistent.
Must haves
- 15+ years in AI/ML, Deep Learning, and Multimodal Systems
- Expertise in transformer-based models and RAG multimodal systems
- Proficiency in Python, PyTorch, TensorFlow, JAX, and LangChain
- Experience with vector search and GPU acceleration
- Master's or Ph.D. in AI, CS, or related field
Tools and skills
About the company
Travel technology firm with no clear footprint as a major global or Indian tech leader in engineering, defaulting to mid-tier.