Job Description
We are on the precipice of a new era in artificial intelligence. Nebula Future Systems is seeking a visionary Lead AI Architect (2026 Vision) to define the roadmap for next-generation autonomous systems.
In this pivotal role, you will not just build models; you will architect the very fabric of our AI ecosystem for the year 2026 and beyond. You will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are ethical, robust, and transformative.
Why Join Us?
- Shape the future of work and technology.
- Work with cutting-edge tools (LLMs, Neural Architectures).
- Competitive compensation and equity package.
If you are a thought leader passionate about the intersection of deep learning and human-centric design, we want to hear from you.
Responsibilities
- Strategic Roadmapping: Define and execute the technical vision for AI capabilities by 2026, focusing on generative AI and autonomous agents.
- System Architecture: Design scalable, fault-tolerant distributed systems capable of handling billions of inference requests.
- Team Leadership: Mentor a world-class team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research Integration: Stay at the forefront of academic research, evaluating and integrating novel algorithms into our production pipeline.
- Ethical AI Governance: Establish frameworks for responsible AI, ensuring fairness, transparency, and accountability in all deployed models.
- Stakeholder Communication: Translate complex technical concepts for executive leadership and cross-functional product teams.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 8+ years of experience in machine learning engineering or applied research, with at least 3 years in a leadership role.
- Technical Proficiency: Deep expertise in Python, PyTorch/TensorFlow, and modern Large Language Model architectures (Transformers).
- System Design: Proven track record of designing high-scale distributed systems (Kubernetes, AWS, GCP).
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve ambiguous problems with innovative technical solutions.