Job Description
Are you ready to define the technological landscape of 2026?
Nexus Future Labs is seeking a visionary Senior AI Architect to lead the architectural evolution of our next-generation artificial intelligence systems. We are not just building software; we are engineering the infrastructure for the future of human-machine interaction. In this pivotal role, you will translate cutting-edge theoretical research into robust, scalable production systems that power our 2026 roadmap.
As a key driver of our innovation strategy, you will work at the intersection of deep learning, distributed systems, and cloud scalability. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech industry, we want to hear from you.
Why Join Us?
- Work on the forefront of Generative AI and Autonomous Systems.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the architectural vision for our flagship AI products, ensuring alignment with long-term business goals.
- Design Scalable Systems: Architect high-performance neural networks and distributed computing systems capable of handling petabyte-scale data.
- Model Optimization: Oversee the end-to-end lifecycle of machine learning models, from training and fine-tuning to deployment and monitoring in production environments.
- Cross-Functional Collaboration: Partner with data scientists, product managers, and engineering teams to translate complex requirements into technical solutions.
- Technical Leadership: Mentor junior engineers and architects, fostering a culture of innovation, code quality, and continuous learning.
- Security & Compliance: Implement rigorous security protocols and ensure all AI systems adhere to data privacy regulations and ethical AI standards.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 10+ years of experience in software engineering and at least 5 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or similar frameworks. Proven experience building and deploying Large Language Models (LLMs).
- System Design: Strong background in distributed systems, cloud architecture (AWS, GCP, or Azure), and microservices.
- Problem Solving: Demonstrated ability to troubleshoot complex technical challenges and optimize system performance under pressure.
- Communication: Exceptional verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.