Job Description
Be the Architect of Tomorrow
We are Apex Horizon Systems, a premier R&D firm pioneering the technological landscape for the next decade. As we look toward 2026, we are seeking a visionary Senior AI Architect to lead our next-generation autonomous systems division. You won't just be maintaining legacy systems; you will be building the core intelligence that drives our future products.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. You will work directly with C-level executives and lead a team of elite engineers to define the roadmap for AI evolution.
Why Join Us?
- Work on cutting-edge generative AI and autonomous agents.
- Competitive compensation package with equity opportunities.
- Remote-first culture with premium office amenities in the Bay Area.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Design & Architect: Design and implement high-level architecture for AI-driven platforms, focusing on scalability, fault tolerance, and real-time processing.
- R&D Leadership: Spearhead research initiatives into Large Language Models (LLMs) and predictive analytics to stay ahead of the 2026 tech curve.
- System Optimization: Oversee the deployment of AI models into production, optimizing for low latency and high throughput.
- Talent Development: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with product management to translate business requirements into technical roadmaps for the future.
- Cross-Functional Collaboration: Partner with security and compliance teams to ensure robust AI governance and data privacy standards.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field (or equivalent extensive industry experience).
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS/GCP).
- Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead or Architect role.
- AI Expertise: Deep understanding of Deep Learning, Neural Networks, NLP, and Computer Vision.
- Problem Solving: Exceptional ability to solve complex technical challenges and innovate under pressure.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.