Job Description
Are you ready to define the technological landscape of 2026? Apex Horizon Technologies is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure initiatives. As we push the boundaries of artificial general intelligence and quantum computing integration, we need a leader who can bridge the gap between theoretical research and scalable production systems.
In this pivotal role, you will not just build software; you will architect the future. You will lead a cross-functional team of data scientists and engineers to build the foundational models that will power our ecosystem a decade from now. If you thrive in high-pressure environments and possess an obsession with efficiency, scalability, and cutting-edge innovation, we want to meet you.
Why Join Us?
- Work on projects that will define the industry standards for 2026 and beyond.
- Competitive compensation package including equity.
- Unlimited PTO and remote-first flexibility.
- Access to state-of-the-art compute resources and research facilities.
Responsibilities
- Define and execute the long-term technical roadmap for AI systems leading up to and beyond 2026.
- Architect scalable, fault-tolerant machine learning pipelines capable of processing petabyte-scale datasets.
- Lead the research and implementation of advanced neural architectures, including Large Language Models and reinforcement learning agents.
- Mentor senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaborate with product management to translate complex technical concepts into feasible product roadmaps.
- Ensure architectural integrity and security standards across all AI deployments.
- Stay ahead of industry trends to identify new technologies that provide a competitive advantage.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying production-grade AI models at scale.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and MLOps practices.
- Excellent communication skills with the ability to present complex technical strategies to non-technical stakeholders.
- Experience with quantum computing libraries or unconventional hardware architectures is a major plus.