Job Description
Are you ready to architect the future of intelligence? Nexus Future Labs is seeking a visionary AI Systems Architect (2026 Vision) to lead our research and development in the next generation of generative technologies.
In this pivotal role, you will define the technical roadmap for our proprietary AI infrastructure, ensuring scalability, security, and ethical AI integration. We are looking for a thought leader who is not just keeping up with the industry, but shaping the landscape of 2026.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and autonomous agents.
- Competitive equity and salary packages for top-tier talent.
- Flexible remote-first culture with hubs in San Francisco and Austin.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of robust, scalable AI systems capable of processing petabytes of data in real-time.
- R&D Strategy: Spearhead research initiatives focused on Generative AI 2.0, Reinforcement Learning, and Neuromorphic computing.
- System Integration: Integrate complex third-party APIs and internal data pipelines to enhance our core product capabilities.
- Performance Optimization: Continuously monitor system performance, optimizing latency and throughput to ensure a seamless user experience.
- Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Ethical AI Compliance: Ensure all AI deployments adhere to strict ethical guidelines and bias mitigation standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and AI infrastructure.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- System Design: Proven track record of designing high-availability systems and microservices architectures.
- Communication: Exceptional ability to translate complex technical concepts into clear strategies for non-technical stakeholders.
- Future-Proofing: Strong intuition for emerging technologies and the ability to anticipate industry shifts toward 2026 and beyond.