Job Description
We are looking for a visionary Lead AI Architect to join our elite engineering team and define the roadmap for the 2026 technological paradigm shift. At Apex Future Systems, we don't just predict the future; we build the infrastructure that powers it.
In this pivotal role, you will spearhead the development of autonomous agent frameworks and next-generation generative AI models. You will bridge the gap between theoretical AI research and scalable, production-ready software, ensuring our systems remain at the cutting edge of innovation.
Why join us?
- Work on mission-critical projects that will define the next decade of technology.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with premium co-working spaces in SF.
Responsibilities
- Architectural Vision: Design and oversee the technical architecture for our proprietary 2026 AI core, ensuring scalability, security, and performance.
- Model Development: Lead the research and implementation of Large Language Models (LLMs) and reinforcement learning systems.
- System Optimization: Optimize model inference latency and reduce computational costs for large-scale deployments.
- Tech Strategy: Define the technical roadmap and best practices for the AI engineering department.
- Collaboration: Partner with product managers and data scientists to translate complex requirements into robust technical solutions.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers and senior engineers alike.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
- Experience: 7+ years of software engineering experience, with at least 3 years in a lead AI/ML architecture role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Docker).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
- System Design: Strong background in system design patterns, cloud architecture (AWS/GCP), and database management.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.