Job Description
Are you ready to engineer the future? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our breakthrough projects leading up to and through the transformative year of 2026. We are building the infrastructure for the next generation of intelligent systems, and we need a technical mastermind to define the architecture.
In this role, you will bridge the gap between theoretical machine learning and scalable, production-grade software engineering. You will lead a team of elite engineers in designing AI models that will define the landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge Generative AI and Autonomous Systems.
- Competitive equity package and salary.
- Flexible remote-first policy with state-of-the-art office amenities.
Responsibilities
- Architectural Leadership: Design and implement high-level system architectures for next-gen AI applications, ensuring scalability, security, and performance.
- 2026 Roadmap: Define the technical roadmap for 2026, identifying emerging technologies (e.g., AGI, Neural Rendering) and integrating them into our core product suite.
- Team Mentorship: Lead, mentor, and inspire a high-performance engineering team, fostering a culture of innovation and continuous learning.
- Model Optimization: Oversee the training, fine-tuning, and optimization of large language models and neural networks to achieve peak inference efficiency.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate complex business requirements into robust technical solutions.
- R&D Integration: Spearhead Proof of Concept (PoC) projects to validate new AI methodologies before full-scale deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of software engineering experience, with at least 3 years in a Lead Architect or Senior Engineering role.
- Core Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and modern Machine Learning frameworks.
- System Design: Proven experience designing distributed systems and cloud-native applications on AWS, Azure, or GCP.
- Leadership: Demonstrated ability to lead diverse teams and manage complex technical projects from conception to delivery.
- Problem Solving: Exceptional analytical skills with a track record of solving unsolved problems in AI scalability.