Job Description
We are seeking a visionary Senior AI Architect (2026 Roadmap) to lead the technical strategy for our next-generation intelligent systems. Nexus Future Labs is at the forefront of innovation, and we are looking for a leader who can define the architecture for products that will shape the future of technology. You will be responsible for designing scalable AI infrastructures, mentoring engineering teams, and ensuring the delivery of high-performance solutions that meet the rigorous demands of the modern market. If you are passionate about the future and want to build the systems that define 2026, this is your opportunity.
Responsibilities
- Architect and design scalable AI/ML infrastructure for the 2026 product roadmap.
- Lead the technical vision, establishing best practices for cloud-native architecture and data engineering.
- Oversee the full software development lifecycle, from concept to deployment, ensuring high code quality and security.
- Mentor and coach engineering teams, fostering a culture of continuous improvement and innovation.
- Collaborate with cross-functional stakeholders to translate complex business requirements into technical blueprints.
- Research and evaluate emerging technologies, including quantum computing and edge AI, to drive competitive advantage.
- Manage technical risks and drive solutions for complex architectural challenges.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML engineering.
- Expert proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
- Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Proven experience leading high-performing engineering teams and delivering large-scale projects.
- Strong background in distributed systems, microservices, and system scalability.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.