Senior AI Scientist - Generative & Multi-Modal

G42; Abu Dhabi; On-site; AED 400,000 - 700,000; Full time

Job summary

Inception42 is seeking a Sr. Applied Scientist to advance efficient deep-learning and GenAI models. You will lead research across computer vision, NLP, and audio to build real-world AI solutions and optimize state-of-the-art algorithms.

Collaborating with product teams, you’ll translate innovations into product-ready capabilities, perform proofs of concept, and support client engagements with technical insights and scalable implementations.

Qualifications

• M.Sc. or Ph.D. in computer science, engineering, or AI-related field. Specialization in Computer Vision, NLP or Speech and Audio is desirable.
• Minimum 8 years of experience developing AI algorithms across modalities.
• Knowledge of Agentic AI designs and protocols (MCP, A2A, agentic orchestration).
• Hands-on experience with Python for prototyping GenAI solutions.
• Expertise in optimizing advanced RAG architectures and designing information retrieval systems.
• Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks).
• Understanding of latest Agentic and RAG research and innovation areas.
• Track record of high-level research, publications or product-driven RD.

Responsibilities

• Design, analyze and optimize AI algorithms across modalities including text, audio and vision.
• Develop multi-modal solutions combining text, audio and visuals for real-world apps.
• Collaborate with researchers and engineers to optimize algorithms for efficiency and scalability.
• Work with product teams to integrate new models into offerings and conduct POCs per client needs.
• Propose AI-driven scenarios to improve customer business efficiency.
• Provide pre-sales and post-sales technical support to business development.

Skills

Python

Agentic AI

RAG architectures

Education

M.Sc./Ph.D. in CS/AI

Tools

Fabric

Snowflake

Databricks

Job description

Inception42 is seeking a Sr. Applied Scientist to advance efficient deep-learning and GenAI models. You will lead research across computer vision, NLP, and audio to build real-world AI solutions and optimize state-of-the-art algorithms.

Collaborating with product teams, you’ll translate innovations into product-ready capabilities, perform proofs of concept, and support client engagements with technical insights and scalable implementations.