Job Description
Shape the Future of Intelligence
Are you ready to architect the next generation of Artificial General Intelligence (AGI)? Apex Future Tech is seeking a visionary AI Architect (2026 Vision) to lead our research and engineering initiatives. In this pivotal role, you will define the technical roadmap for systems that will define the technological landscape of 2026 and beyond.
We are not just building models; we are building the infrastructure for a sentient digital future. You will collaborate with a world-class team of data scientists, engineers, and ethicists to pioneer breakthroughs in Natural Language Processing, Computer Vision, and Multi-modal AI systems.
Why Join Us?
- Work on cutting-edge projects that push the boundaries of what is possible.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of SF.
Responsibilities
- Architect Scalable ML Infrastructure: Design and deploy robust, scalable architectures for large-scale LLMs and generative AI models.
- R&D Leadership: Spearhead research initiatives focused on achieving human-level reasoning and autonomy by 2026.
- System Optimization: Oversee the optimization of training pipelines, reducing latency and improving inference efficiency.
- Model Fine-Tuning: Lead the fine-tuning of foundation models on proprietary datasets to enhance domain-specific accuracy.
- Ethical AI Governance: Implement frameworks to ensure AI safety, bias mitigation, and responsible deployment.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 8+ years of experience in software engineering with a strong specialization in Machine Learning and Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Ray, Kubernetes).
- Domain Expertise: Deep understanding of Transformers, Attention Mechanisms, and Vector Databases.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-stakes environments.
- Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.