Job Description
Are you ready to architect the next generation of intelligence? Nebula Horizon Technologies is seeking a visionary Senior AI Architect to spearhead our R&D efforts for the 2026 AI roadmap. We are building the systems that will define the future of human-computer interaction, and we need a technical leader who is as comfortable with quantum algorithms as they are with deep learning.
In this role, you won't just be writing code; you will be defining the architectural patterns for the AI-native enterprise of tomorrow. You will work at the intersection of Generative AI, Predictive Analytics, and Ethical Frameworks to deliver products that are not only powerful but responsible.
Why Join Us?
• Impact at Scale: Your work will directly influence the core infrastructure used by millions.
• Future-Proofing: We are aggressively preparing for the AI evolution of 2026 and beyond.
• Elite Team: Collaborate with PhDs and industry veterans from top tech firms.
• Top-Tier Compensation: Competitive salary plus equity in a unicorn startup.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable neural network architectures, focusing on Large Language Models (LLMs) and multimodal systems for the 2026 product suite.
- System Optimization: Lead initiatives to optimize inference speeds and reduce computational costs for real-time AI applications.
- R&D Leadership: Conduct cutting-edge research in prompt engineering, reinforcement learning, and autonomous agents.
- Ethical AI Governance: Establish and enforce guidelines for bias mitigation, data privacy, and transparent AI decision-making processes.
- Technical Mentorship: Mentor a team of junior data scientists and ML engineers, fostering a culture of continuous learning and innovation.
- Strategic Roadmapping: Translate business goals into technical roadmaps, identifying key technologies to invest in for long-term growth.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 7+ years of professional experience in machine learning, deep learning, or AI engineering.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Ray).
- Algorithm Mastery: Deep understanding of classical and modern algorithms, including Transformers, GANs, and reinforcement learning.
- Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated track record of solving ambiguous problems in high-pressure, fast-paced environments.