Job Description
Join the Architects of Tomorrow. Apex Future Technologies is pioneering the infrastructure for the 2026 technological era. We are looking for a visionary Senior AI Architect to lead the development of autonomous agents, generative AI systems, and predictive neural networks that will define the next decade of innovation.
In this high-impact role, you won't just be writing code; you will be architecting the future. You will work at the intersection of deep learning, data engineering, and product strategy to build scalable systems that operate with human-level reasoning. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.
Why join us?
• Work on cutting-edge projects that shape the 2026 tech landscape.
• Competitive compensation and equity packages.
• Flexible remote-first policy with a premium San Francisco office.
• Access to state-of-the-art computing resources.
Responsibilities
- Architect AI Systems: Design and implement robust, scalable AI infrastructure for our core products, focusing on next-gen Large Language Models (LLMs) and Agentic workflows.
- Roadmap Leadership: Define the technical vision for our 2026 product roadmap, translating business goals into technical specifications.
- Model Optimization: Fine-tune and optimize proprietary models for speed, accuracy, and cost-efficiency in real-world applications.
- Research & Innovation: Stay ahead of industry trends in AI safety, ethics, and emerging architectures to ensure our technology remains competitive.
- Cross-Functional Collaboration: Partner with product managers, designers, and engineers to deliver seamless user experiences powered by advanced AI.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed systems (Kubernetes, AWS/Azure).
- Modeling: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Leadership: Proven ability to lead technical teams and mentor junior engineers in a fast-paced environment.