Job Description
The Opportunity: Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Lead AI Architect to spearhead our groundbreaking 'Horizon Initiative.' We are building the infrastructure for the next decade, focusing on autonomous systems, generative intelligence, and the convergence of quantum and classical computing.
Why Join Us?
We are not just building software; we are architecting the future. As part of the 2026 Horizon Initiative, you will have the autonomy to design systems that will define industry standards for the coming years. You will work in a high-performance environment with top-tier talent, pushing the boundaries of what is possible with Artificial Intelligence.
Key Responsibilities:
- Architect and deploy scalable, fault-tolerant AI infrastructures for next-gen autonomous agents.
- Lead research and implementation of novel neural network topologies optimized for edge computing.
- Oversee the integration of quantum computing primitives into classical machine learning pipelines.
- Define the architectural roadmap for the '2026 Horizon' product suite.
- Optimize model inference speeds and resource efficiency for real-time applications.
Qualifications:
- PhD in Computer Science, Mathematics, or a related technical field, or equivalent extensive experience.
- 7+ years of experience designing and scaling large-scale machine learning systems.
- Deep expertise in Python, PyTorch, and distributed computing frameworks (Ray, Kubernetes).
- Proven track record in deploying Generative AI and Large Language Models (LLMs) at scale.
- Strong understanding of AI ethics, bias mitigation, and governance frameworks.
Benefits:
- Competitive salary ($180k - $250k) and equity package.
- Comprehensive health, dental, and vision coverage.
- Flexible remote and hybrid work options.
- Access to cutting-edge hardware and quantum computing resources.
Responsibilities
- Architect and deploy scalable, fault-tolerant AI infrastructures for next-gen autonomous agents.
- Lead research and implementation of novel neural network topologies optimized for edge computing.
- Oversee the integration of quantum computing primitives into classical machine learning pipelines.
- Define the architectural roadmap for the '2026 Horizon' product suite.
- Optimize model inference speeds and resource efficiency for real-time applications.
Qualifications
- PhD in Computer Science, Mathematics, or a related technical field, or equivalent extensive experience.
- 7+ years of experience designing and scaling large-scale machine learning systems.
- Deep expertise in Python, PyTorch, and distributed computing frameworks (Ray, Kubernetes).
- Proven track record in deploying Generative AI and Large Language Models (LLMs) at scale.
- Strong understanding of AI ethics, bias mitigation, and governance frameworks.