Job Description
Are you ready to architect the future of intelligent systems? TerraNova Systems is leading the charge on our revolutionary 'Project 2026' initiative, aiming to redefine the boundaries of generative AI and autonomous decision-making by the year 2026.
We are looking for a visionary Lead AI Architect to join our elite engineering team in San Francisco. In this pivotal role, you will not only design scalable neural architectures but also set the strategic direction for our next-generation AI infrastructure. You will be the bridge between theoretical machine learning breakthroughs and production-grade software systems.
Why join Project 2026?
- Work on cutting-edge technology that will define the industry landscape.
- Competitive equity package and top-tier compensation.
- Collaborate with world-class researchers and engineers.
If you have a passion for pushing the envelope of what is possible in AI, we want to hear from you.
Responsibilities
- Architectural Leadership: Define and implement the high-level software architecture for Project 2026’s core AI models, ensuring scalability, security, and performance.
- Strategy & Vision: Translate complex business requirements into technical roadmaps and innovative AI solutions that align with the 2026 timeline.
- Team Mentorship: Guide and mentor junior architects and data scientists, fostering a culture of technical excellence and continuous learning.
- Model Optimization: Oversee the fine-tuning and deployment of large language models (LLMs) and reinforcement learning agents in cloud environments.
- Cross-Functional Collaboration: Partner with product managers, researchers, and security teams to integrate AI capabilities seamlessly into user-facing products.
- Performance Monitoring: Establish rigorous metrics for model accuracy, latency, and resource utilization to drive continuous improvement.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- Domain Knowledge: Deep understanding of NLP, computer vision, or reinforcement learning.
- Leadership: Proven track record of leading technical teams and delivering complex projects on schedule.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.