Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nebula Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure project. As we prepare for our Q2 2026 rollout, you will be at the forefront of engineering a scalable, intelligent ecosystem that redefines industry standards.
In this role, you won't just manage code; you will architect the future. You will work closely with cross-functional teams to integrate cutting-edge Large Language Models (LLMs) with high-throughput distributed systems. If you are passionate about pushing the boundaries of what is possible in AI and want to leave a lasting legacy in the tech world, this is your opportunity to shine.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of a scalable AI infrastructure roadmap specifically tailored for the 2026 release cycle.
- Model Optimization: Lead the optimization of deep learning models to ensure sub-millisecond latency and maximum throughput.
- System Integration: Bridge the gap between complex AI algorithms and production-grade cloud environments (AWS/GCP).
- Team Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Roadmap Planning: Define technical milestones and deliverables to ensure the 2026 vision is executed flawlessly on time.
- Cross-Functional Collaboration: Work with product managers and stakeholders to translate business goals into technical specifications.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years in a Lead Architect role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern distributed computing frameworks.
- System Design: Deep understanding of microservices architecture, Kubernetes, and cloud-native technologies.
- AI Expertise: Proven track record of deploying large-scale machine learning models into production environments.
- Leadership: Strong track record of managing high-performing engineering teams and driving technical strategy.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.