Lead Applied Scientist (Inception)

Inception, a G42 company, is the region\u2019s 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 \u2013 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 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\u2019s mission. Inception is the UAE\u2019s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platform utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region. As a Lead Applied Scientist, you will play a pivotal role in shaping Inception\u2019s 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\u2019s applied AI research roadmap, identifying emerging technologies and methodologies that strengthen the company\u2019s 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. Success in this role will be measured by the number and impact of innovations deployed, research-to-product conversion rate, efficiency improvements realized, and recognition through patents, publications, and partnerships. If 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. 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. Work-Life: A hybrid work policy to strike the perfect balance between office and home. 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. Inception, a G42 company, is the region\u2019s 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 \u2013 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

Strategic Research Leadership: Define and drive Inception’s applied AI research roadmap, identifying emerging technologies and methodologies. 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. 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.