Job Description
Shape the Future of Intelligence.
Nebula Core is at the forefront of the 2026 technological revolution. We are seeking a visionary Senior AI Architect to lead the design and deployment of next-generation autonomous systems. If you are passionate about pushing the boundaries of generative AI, predictive modeling, and ethical machine learning, this is your opportunity to define the roadmap for the year 2026.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are scalable, robust, and transformative. Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced technology.
Responsibilities
- Architect Design: Lead the end-to-end architecture design for large-scale AI models, ensuring scalability and performance for 2026 standards.
- Research & Innovation: Stay ahead of the curve on emerging AI trends, including LLMs, reinforcement learning, and neural architecture search.
- Model Deployment: Oversee the deployment of AI models into production environments, optimizing inference latency and resource utilization.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Strategic Planning: Collaborate with product leaders to define AI strategies that align with our long-term business objectives.
- Ethical AI: Implement frameworks to ensure AI systems are fair, transparent, and compliant with global regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
- System Design: Deep understanding of distributed systems, microservices, and high-availability architecture.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous problems and delivering innovative solutions under tight deadlines.