Job Description
The Future of Technology Awaits. Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Next-Gen AI Architect to lead our Research and Development initiatives. In this pivotal role, you will not just implement existing models but will architect the foundational systems that will power the next generation of intelligent applications.
We are looking for a thought leader who thrives on ambiguity and possesses the foresight to prepare our infrastructure for the rapid advancements expected in the coming years. If you are passionate about the intersection of Artificial Intelligence, distributed systems, and future-forward strategy, we want to hear from you.
Why Join Nexus Future Labs?
- Work on cutting-edge projects that define the future.
- Competitive compensation and equity packages.
- Flexible work environment and remote-first culture.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable, fault-tolerant AI infrastructure capable of handling high-velocity data streams and complex predictive modeling.
- Roadmap Strategy: Lead the technical strategy for the 2026 roadmap, identifying emerging technologies (e.g., LLM evolution, Edge AI) and integrating them into our core architecture.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and data scientists to translate business requirements into robust technical solutions.
- Model Optimization: Oversee the fine-tuning and optimization of large-scale models to ensure performance, latency, and cost-efficiency.
- Innovation Labs: Spearhead internal hackathons and proof-of-concept (PoC) projects to explore uncharted territories in AI development.
- Mentorship: Mentor junior architects and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strategic Vision: Proven track record of anticipating industry trends and architecting systems with long-term scalability in mind.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Certifications: AWS Solutions Architect Professional or Google Cloud Professional Machine Learning Engineer preferred.