Job Description
We are at the forefront of the technological singularity. Nexus Future Systems is looking for a visionary Senior AI Architect to define the infrastructure and protocols for the 2026 era. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and Autonomous Systems, this is your opportunity to build the foundation of tomorrow.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead a high-performing team in designing scalable neural architectures that can handle the demands of the next decade. Join us in shaping the future of intelligence.
Responsibilities
- Architect the 2026 Roadmap: Design and implement the core AI infrastructure that aligns with our 2026 strategic vision, focusing on AGI readiness and quantum-integrated machine learning.
- Lead System Design: Spearhead the architectural decisions for large-scale distributed AI systems, ensuring high availability, security, and performance.
- Optimization & Scaling: Drive the optimization of model inference speeds and reduce latency across global edge networks using advanced edge computing techniques.
- R&D Leadership: Collaborate with top-tier researchers to prototype and validate cutting-edge algorithms before scaling them to production environments.
- Code Governance: Establish and enforce best practices for code quality, testing, and documentation within the AI engineering team.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, C++, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Domain Knowledge: Proven track record of deploying successful NLP or Computer Vision models at scale.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and architectural challenges.
- Future-Forward Mindset: Demonstrated interest in emerging technologies such as Neuromorphic Computing or Federated Learning.