Job Description
The Opportunity: At 2026, we are not just predicting the future; we are engineering it. We are a premier technology firm pioneering the next generation of Artificial Intelligence and Quantum Computing solutions. We are looking for a visionary Lead AI Architect to lead our core engineering team in building scalable, hyper-efficient neural networks.
Why Join Us?
- Impact: Work on projects that will define the technological landscape of the year 2026 and beyond.
- Culture: A diverse, remote-first environment focused on innovation and continuous learning.
- Equity: Competitive stock options for early contributors.
We are seeking a candidate who thrives in ambiguity and possesses the technical prowess to turn abstract concepts into robust, production-ready software.
Responsibilities
- Spearhead the architectural design and implementation of next-gen AI models, focusing on large language models (LLMs) and reinforcement learning.
- Lead a team of top-tier data scientists and engineers, fostering a culture of technical excellence and mentorship.
- Collaborate with cross-functional teams to define product roadmaps that align with our long-term vision for 2026.
- Optimize existing algorithms for speed, accuracy, and resource efficiency in cloud environments.
- Stay ahead of industry trends in AI, ensuring our technology stack remains state-of-the-art.
- Drive the adoption of best practices in code quality, security, and deployment pipelines.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum of 8 years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Proven experience leading high-performance teams and managing complex projects.
- Expert proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow).
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.