Job Description
We are on the precipice of a technological renaissance. Nexus Future Labs is seeking a visionary Lead AI Architect to define the technological roadmap for 2026 and beyond. You will be responsible for designing scalable, autonomous AI ecosystems that power the next generation of human-machine interaction.
In this role, you won't just implement existing solutions; you will pioneer the architecture of tomorrow. You will bridge the gap between cutting-edge research and production-grade systems, ensuring our platforms are secure, efficient, and ethically sound.
Why Join Us?
• Work on futuristic agentic AI systems.
• Competitive equity and stock options.
• Flexible remote-first culture.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the development of complex AI architectures, including Large Language Models (LLMs) and autonomous agent workflows for 2026 standards.
- Strategic Roadmapping: Translate high-level business goals into technical roadmaps, identifying emerging technologies (e.g., quantum-ready algorithms) that provide a competitive advantage.
- Model Optimization: Lead initiatives to optimize model inference speed and reduce computational costs using edge computing and distributed systems.
- Ethical AI Governance: Implement frameworks to ensure AI transparency, fairness, and safety across all deployed models.
- Talent Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Partner with product managers and designers to ensure technical feasibility of ambitious product features.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture teams.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Specialized Knowledge: Proven experience building or deploying Generative AI models and Agentic workflows.
- Problem Solving: Exceptional ability to solve unstructured, complex technical problems with elegant solutions.
- Communication: Outstanding verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.