Job Description
We are Apex Future Systems, a pioneer in next-generation generative intelligence. We are looking for a visionary Senior AI Architect to lead the technical strategy for our flagship initiative, Project 2026. This role is not just about writing code; it is about defining the future of human-AI symbiosis. If you are passionate about pushing the boundaries of what is possible in machine learning and system architecture, we want to meet you.
In this role, you will be the architect behind the infrastructure that powers our next-generation AI models. You will work in a collaborative, high-performance environment where your decisions will impact millions of users. We offer a competitive salary, equity packages, and the opportunity to work on cutting-edge technology that will shape the industry for years to come.
Why Join Us?
- Work on Project 2026, a revolutionary AI framework.
- Competitive compensation: $180k - $250k USD.
- Remote-first culture with access to world-class engineering tools.
- Continuous learning budget and professional development opportunities.
Responsibilities
- Lead Architectural Vision: Design and implement scalable, robust, and secure AI infrastructure for Project 2026, ensuring high availability and performance under load.
- Model Optimization: Oversee the deployment and fine-tuning of large language models and neural networks, optimizing for inference speed and cost-efficiency.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, code excellence, and continuous improvement.
- Cross-Functional Collaboration: Partner with product managers, researchers, and stakeholders to translate business requirements into technical roadmaps and architectural solutions.
- Research Integration: Stay ahead of the curve by integrating the latest advancements in AI research and hardware acceleration (e.g., GPU clusters) into our production pipeline.
- Security & Compliance: Implement rigorous security protocols and data governance strategies to protect sensitive user data and model intellectual property.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 10+ years of experience in software engineering, with at least 5 years focused specifically on AI/ML architecture and system design.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, or Azure).
- Project 2026 Knowledge: Demonstrated experience working on complex, large-scale AI projects involving NLP, Computer Vision, or Generative AI.
- Problem Solving: Exceptional analytical and problem-solving skills with the ability to troubleshoot complex system failures and optimize performance bottlenecks.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.