Job Description
We are on the brink of a technological revolution. Nebula Future Systems is seeking a visionary Senior AI Architect to lead our roadmap for the year 2026 and beyond. In this high-impact role, you will architect the foundational intelligence layer that will power the next generation of autonomous agents, generative applications, and enterprise solutions.
You won't just be building the AI of today; you are building the AI of 2026. We are looking for a technologist who thrives on ambiguity, possesses deep expertise in Large Language Models (LLMs), and is passionate about shaping the future of Artificial General Intelligence (AGI). Join a world-class team of researchers and engineers committed to pushing the boundaries of what is possible.
Why Join Us?
- Work on cutting-edge AI infrastructure that defines the industry standard.
- Competitive compensation and equity packages for top-tier talent.
- Flexible remote-first culture with premium San Francisco office access.
- Unlimited PTO and continuous learning budgets.
Responsibilities
- Architect Scalable AI Systems: Design and deploy robust, fault-tolerant ML pipelines and LLM architectures capable of handling high-scale production workloads.
- Lead the 2026 Roadmap: Define the strategic vision and technical milestones for AI capabilities, ensuring alignment with long-term company goals.
- Optimize Performance: Continuously improve model accuracy, inference speed, and cost-efficiency using advanced optimization techniques.
- Technical Mentorship: Guide and mentor a team of brilliant engineers, fostering a culture of technical excellence and innovation.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex AI concepts into actionable, user-centric software solutions.
- Research Integration: Evaluate and integrate emerging technologies (e.g., Reinforcement Learning, Federated Learning) into the existing stack.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering with a focus on Machine Learning and Deep Learning.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
- LLM Expertise: Proven track record of working with and fine-tuning Large Language Models (e.g., GPT, LLaMA, BERT).
- System Design: Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.