Job Description
Are you ready to architect the future of human-computer interaction? Nebula Horizon is embarking on Project 2026, a groundbreaking initiative to deploy the world's first fully autonomous, ethical AI ecosystem. We are looking for a visionary Senior AI Architect to lead our technical strategy and build the infrastructure that will define the next decade of technology.
In this role, you won't just be maintaining systems; you will be inventing them. You will collaborate with world-class researchers and engineers to design scalable neural architectures, optimize deep learning models for edge computing, and ensure our AI solutions are robust, secure, and transformative.
Why join Project 2026?
- Shape the Unseen: Work on technology that currently exists only in theoretical physics and science fiction.
- Elite Team: Partner with PhDs and industry veterans from top-tier tech giants and research labs.
- Equity-First Culture: We believe in rewarding ownership. You will hold significant equity in our rapidly growing AI platform.
- Global Impact: Your work will directly influence the ethical standards and capabilities of global AI adoption.
Responsibilities
- Define and drive the technical vision and architectural strategy for Project 2026, focusing on scalable AI infrastructure and next-gen neural networks.
- Lead a high-performance team of ML engineers and data scientists to design, implement, and optimize deep learning algorithms.
- Oversee the integration of Quantum Computing principles with classical AI models to enhance processing power.
- Establish best practices for data governance, model security, and ethical AI deployment across the organization.
- Collaborate with product management and cross-functional stakeholders to translate complex business requirements into technical specifications.
- Conduct rigorous code reviews, performance tuning, and system stress-testing to ensure 99.99% uptime for critical AI agents.
- Mentor junior engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field from an accredited institution.
- Experience: Minimum of 8+ years of professional experience in software engineering and machine learning architecture, with at least 3 years in a leadership or senior architectural role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
- Cloud Mastery: Extensive experience designing systems on AWS, GCP, or Azure, specifically utilizing Kubernetes and serverless architectures.
- AI Expertise: Proven track record of deploying large-scale Natural Language Processing (NLP) or Computer Vision models in production environments.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to navigate ambiguity and solve novel engineering challenges in fast-paced, startup environments.