Job Description
The Future is Now: Shape the 2026 Roadmap.
Nexus Future Labs is pioneering the next generation of intelligent systems. As we prepare to redefine the technological landscape of 2026, we are seeking a visionary Lead AI Architect to spearhead our core research and development initiatives. You will be at the forefront of designing scalable, robust, and ethical AI frameworks that will power our solutions for the next decade.
If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Strategic Vision: Define the technical roadmap and architectural standards for the 2026 Horizon Initiative, ensuring alignment with long-term business goals.
- System Design: Design and implement large-scale deep learning and generative AI architectures that are scalable, secure, and high-performance.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Model Optimization: Lead the research and optimization of proprietary algorithms to improve model accuracy, efficiency, and inference speeds.
- Cross-Functional Collaboration: Partner with product managers, researchers, and stakeholders to translate complex technical requirements into actionable development plans.
- Ethical AI: Establish and enforce best practices for responsible AI, ensuring fairness, transparency, and compliance with evolving regulations.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architectural role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong proficiency in distributed computing systems (Kubernetes, AWS/GCP/Azure) and cloud infrastructure.
- Domain Knowledge: Proven track record of deploying production-grade NLP or Computer Vision models at scale.
- Leadership: Demonstrated ability to lead high-performing engineering teams and drive projects from conception to deployment.
- Problem Solving: Exceptional analytical skills with a focus on solving complex, unstructured problems in dynamic environments.