Lead Applied Scientist

AI in this role

computer-visionnlpai-research

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview:

Abu Dhabi

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Inception is seeking an exceptional and visionary Lead Applied Scientist to spearhead advanced AI research and guide teams in developing transformative deep-learning and generative AI solutions. This leadership role calls for a seasoned expert with a strong technical foundation and proven ability to translate cutting-edge research into scalable, high-impact applications. As a Lead Applied Scientist, you will architect next-generation AI systems, drive innovation pipelines, and mentor a team of scientists and engineers to deliver breakthroughs aligned with Inception’s mission.

Responsibilities:

What You’ll Own

As a Lead Applied Scientist, you will play a pivotal role in shaping Inception’s research strategy and leading teams to deliver state-of-the-art AI systems. Your focus will be on innovation leadership, strategic execution, and advancing foundational AI capabilities across multimodal domains.

Strategic Research Leadership: Define and drive Inception’s applied AI research roadmap, identifying emerging technologies and methodologies that strengthen the company’s position as a regional AI leader.

Model Innovation & System Design: Architect and oversee the development of next-generation generative and deep-learning models that integrate multiple modalities (vision, language, audio, and sensor data).

Team Leadership & Mentorship: Lead, mentor, and inspire a multidisciplinary team of scientists and engineers to achieve ambitious R&D milestones and foster a culture of curiosity, collaboration, and excellence.

Cross-Functional Collaboration: Partner with product, engineering, and business teams to translate research into deployable AI systems and enterprise-grade products.

Scalable Deployment: Ensure model scalability, reliability, and efficiency through rigorous experimentation, model optimization, and operational excellence.

Innovation Advocacy: Represent Inception in external forums, research partnerships, and conferences, advancing thought leadership and collaborative engagements with universities and industry partners.

Impact Measurement: Evaluate project success through measurable outcomes such as innovation impact, deployment efficiency, IP generation, and customer satisfaction.

Qualifications:

What We’re Looking For

Ph.D. or M.Sc. in Computer Science, Engineering, or AI-related discipline, with specialization in Machine Learning, Computer Vision, NLP, or Multimodal AI.
Minimum 10–12 years of experience in AI research and product development, with at least 3 years leading R&D teams or major AI projects.
Demonstrated expertise in designing and deploying large-scale AI models and systems.
Proven record of research contributions—publications, patents, or industry innovation initiatives.

Ideally, you’ll also need:

Deep understanding of emerging AI paradigms including foundation models, generative architectures, and reasoning systems.
Strong strategic thinking, project management, and leadership skills.
Excellent communication and stakeholder management capabilities.
Experience in AI commercialization, from research conceptualization to production deployment.

Why Inception42

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community. What Working At Inception Offers Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

How we rate this

Lead Applied Scientist at G42 rates 94 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionNLPAI Research

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a research question you investigated. What did you find?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision, NLP, and AI Research. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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