Job Description
Are you ready to engineer the future? Nebula Systems Inc. is seeking a visionary Lead AI Architect: 2026 Horizon to define our technological roadmap. In this pivotal role, you will architect the next generation of neural networks and generative AI systems designed to scale beyond current capabilities.
We are a forward-thinking organization seeking a strategic thinker who can bridge the gap between theoretical innovation and production-grade software. If you are passionate about the trajectory of AI in 2026 and beyond, this is your opportunity to lead.
Why You Will Love This Role
- Work on cutting-edge technology that defines the industry standard.
- Competitive compensation and equity package.
- Flexible remote-first work culture with office hubs in San Francisco.
- Opportunity to mentor the next generation of AI engineers.
Responsibilities
- Lead the architectural vision for the 2026 AI product suite, ensuring scalability and resilience.
- Oversee the deployment of advanced Large Language Models (LLMs) and proprietary AI frameworks.
- Design and implement a robust MLOps pipeline to manage model lifecycle and governance.
- Mentor and guide a high-performing team of data scientists and ML engineers.
- Collaborate with product stakeholders to define technical requirements for future releases.
- Ensure all AI implementations adhere to strict ethical guidelines and data privacy standards.
- Conduct feasibility studies for emerging technologies like quantum computing integration.
Qualifications
- Minimum of 10 years in software engineering, with at least 5 years in a senior AI/ML leadership role.
- Bachelor’s degree in Computer Science, Artificial Intelligence, or a related technical field (Master’s preferred).
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and distributed computing systems.
- Strong proficiency in Python, SQL, and cloud-native architecture (AWS, GCP, Azure).
- Demonstrated success in leading cross-functional teams through complex technical challenges.
- Familiarity with AI governance, bias mitigation, and regulatory compliance.