Job Description
Join the Architects of Tomorrow.
Nexus Future Labs is pioneering the next generation of intelligent systems. As we chart our course for the pivotal year of 2026, we are seeking a visionary Lead AI Architect to design and implement our roadmap for the future of generative AI and predictive analytics.
In this role, you will not just manage code; you will define the trajectory of our technology stack. You will work at the intersection of engineering and strategy, ensuring our solutions are scalable, ethical, and ahead of the curve. If you are passionate about the future and want to leave a mark on the technological landscape of 2026, this is your opportunity.
Responsibilities
- Strategic Roadmap: Lead the technical vision and architecture for 2026, defining the integration of next-gen AI models into core products.
- System Design: Design robust, scalable, and secure machine learning pipelines and infrastructure to handle high-volume data processing.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex business requirements into technical specifications.
- Innovation & Research: Stay ahead of industry trends, evaluating emerging technologies (e.g., LLMs, Edge AI) to drive continuous improvement.
- Optimization: Oversee the performance tuning and optimization of neural networks and data models to ensure real-time latency reduction.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum 8-10 years of experience in software engineering with at least 3 years in a lead or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- Architecture: Proven experience designing distributed systems and large-scale machine learning architectures.
- Leadership: Demonstrated ability to lead diverse, high-performance engineering teams.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.