Job Description
Are you ready to architect the intelligence of tomorrow? We are seeking a visionary Lead AI Architect to define the technological roadmap for 2026 and beyond. At Nebula Horizon, we are building the neural infrastructure of the next generation. You will be at the forefront of developing autonomous systems that redefine human-machine interaction.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn science fiction into functional reality. If you are passionate about the future of Artificial General Intelligence and want to leave a lasting legacy in the tech industry, this is your opportunity.
Why Join Us?
- Impactful Work: Build systems that will shape the decade.
- Innovation First: Access to cutting-edge hardware and research.
- Competitive Compensation: Top-tier salary and equity packages.
Responsibilities
- Architect Next-Gen Solutions: Design and implement scalable deep learning models and neural architectures specifically tailored for the 2026 era of computing.
- Technical Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of excellence and continuous learning.
- Strategic Roadmapping: Translate complex business objectives into robust technical strategies and long-term development plans.
- Model Optimization: Oversee the deployment, fine-tuning, and optimization of Large Language Models (LLMs) and generative AI agents.
- Ethical AI Compliance: Ensure all systems adhere to the highest standards of safety, fairness, and ethical AI governance.
- Cross-Functional Collaboration: Partner with product and engineering teams to drive the integration of AI into consumer and enterprise products.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 3 years in a senior or leadership role within AI/ML.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and experience with cloud-native architectures (AWS, GCP, or Azure).
- Domain Knowledge: Deep understanding of Transformer architectures, NLP, and computer vision.
- Leadership: Demonstrated ability to lead diverse teams and drive project delivery in fast-paced environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.