Job Description
We are Apex Future Systems, a pioneer in next-generation artificial intelligence. We are looking for a visionary AI Architect to lead our 2026 Horizon Initiative.
As we stand on the precipice of the next technological revolution, you will be responsible for defining the architectural blueprints that will power our AI solutions well into the future. This is not just a job; it is a mission to shape the landscape of technology in 2026 and beyond.
Why Join Us?
- Work on cutting-edge generative AI and autonomous systems.
- Competitive compensation package and equity.
- Flexible remote-first culture with HQ in the heart of SF.
Responsibilities
- Architect the 2026 AI Roadmap: Design scalable, robust, and future-proof AI architectures that align with our long-term strategic vision.
- Lead Model Innovation: Spearhead the research and implementation of next-generation Large Language Models (LLMs) and multimodal systems.
- Infrastructure Scalability: Oversee the engineering of distributed systems capable of handling exascale compute requirements.
- Ethical AI Governance: Establish frameworks for responsible AI, ensuring bias mitigation and data privacy compliance.
- Technical Mentorship: Guide a team of senior engineers and data scientists in adopting best practices and emerging technologies.
- Cross-Functional Collaboration: Partner with product and engineering leaders to translate futuristic concepts into actionable software deliverables.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with a minimum of 4 years focused on AI/ML architecture.
- Technical Proficiency: Deep expertise in PyTorch, TensorFlow, JAX, or equivalent deep learning frameworks.
- System Design: Proven track record of designing high-performance distributed systems and cloud infrastructure (AWS/GCP/Azure).
- Research Background: Strong background in academic research or applying novel research to production environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.