Job Description
Apex Horizon Systems is pioneering the next generation of intelligent infrastructure. We are seeking a visionary Lead AI Architect to spearhead Project 2026, our flagship initiative to revolutionize autonomous decision-making systems in complex environments.
In this role, you will define the technical vision, oversee model deployment, and mentor a team of elite data scientists and engineers. If you are passionate about pushing the boundaries of Artificial General Intelligence and building systems that define the future, we want to hear from you.
Why Join Project 2026?
- Work on cutting-edge AI research that will define the industry standard for 2026 and beyond.
- Competitive compensation package including equity options.
- Flexible remote-first culture with quarterly in-person innovation summits.
Location: San Francisco, CA (Hybrid)
Travel: 20%
Responsibilities
- Architectural Leadership: Design and implement the core machine learning infrastructure for Project 2026, ensuring scalability, security, and performance.
- Model Development: Lead the research and development of state-of-the-art deep learning models, focusing on NLP and Computer Vision.
- Team Mentorship: Guide a cross-functional team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with C-level executives to define the technical roadmap and ensure alignment with business goals.
- Performance Optimization: Continuously monitor model accuracy, latency, and resource utilization to drive efficiency improvements.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.
- R&D: Stay abreast of the latest advancements in AI and integrate new methodologies into the Project 2026 ecosystem.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership or architectural role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS/GCP/Azure).
- Leadership: Proven track record of leading high-performance engineering teams through the full software development lifecycle.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to present to diverse audiences.
- Security: Deep understanding of AI ethics, data privacy, and system security best practices.