Job Description
Are you ready to define the future of artificial intelligence? Nexus Future Labs is seeking a visionary Senior AI Architect to lead The 2026 Initiative, a groundbreaking project dedicated to advancing AGI capabilities and ethical AI frameworks. In this role, you will bridge the gap between theoretical research and scalable engineering solutions, ensuring our roadmap for 2026 is not just a vision, but a reality.
We are looking for a thought leader who thrives in ambiguity and possesses the technical depth to architect systems that scale. You will collaborate with cross-functional teams of researchers, engineers, and product managers to build the infrastructure that powers the next generation of intelligent systems.
Why Join The 2026 Initiative?
- Be at the forefront of AI innovation.
- Shape the strategic direction of our core technology stack.
- Competitive compensation and equity packages.
If you are passionate about pushing the boundaries of what is possible, we want to hear from you.
Responsibilities
- Architect and design the core infrastructure for The 2026 Initiative, ensuring high scalability, security, and performance.
- Define the technical roadmap and architectural standards for long-term AI research and deployment.
- Lead the integration of cutting-edge Machine Learning models into production environments.
- Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
- Evaluate emerging technologies and frameworks to determine their viability for future projects.
- Collaborate with data scientists to translate research breakthroughs into robust engineering solutions.
- Ensure all systems comply with industry regulations and ethical AI guidelines.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software engineering, with at least 3 years in a senior AI/ML architecture role.
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch, JAX) and distributed systems.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Demonstrated leadership experience in guiding teams through complex technical challenges.