Job Description
Are you ready to architect the infrastructure of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for the 2026 technology roadmap.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. We are not just building for today; we are engineering the solutions that will define the next era of digital intelligence. If you possess a deep understanding of generative models, distributed systems, and have a passion for pushing the boundaries of what's possible, we want to meet you.
Why Join Us?
- Work on projects that directly impact the future of enterprise AI.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a hub in downtown Austin.
- Access to state-of-the-art computing resources and research.
Responsibilities
- Architect Scalable AI Systems: Design and deploy robust, fault-tolerant machine learning pipelines capable of handling exabytes of data.
- Lead Research & Innovation: Spearhead the exploration of next-gen AI paradigms, including Large Language Models (LLMs) and autonomous agents, to prepare for the 2026 landscape.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of excellence and continuous learning.
- System Optimization: Oversee the optimization of inference and training performance, ensuring low latency and high throughput.
- Stakeholder Collaboration: Translate complex technical requirements into actionable roadmaps for product and engineering leadership.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- System Design: Deep understanding of distributed systems, microservices, and containerization (Kubernetes, Docker).
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.