Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our next-generation research initiatives. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable commercial applications, defining the roadmap for our most ambitious projects.
We are looking for a pioneer who thrives in ambiguity and possesses a deep understanding of neural networks, generative models, and ethical AI frameworks. If you are passionate about building the future and leading high-performing engineering teams, this is your opportunity to make an indelible mark on the industry.
Responsibilities
- Strategic Vision: Define and communicate the long-term technical roadmap for AI research, specifically targeting breakthroughs relevant to the 2026 technology landscape.
- Leadership: Mentor and manage a team of senior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Architecture Design: Design scalable, secure, and robust machine learning systems and cloud architectures that can handle enterprise-grade workloads.
- Research & Development: Lead R&D efforts in cutting-edge areas such as Large Language Models (LLMs), Computer Vision, and Autonomous Systems.
- Stakeholder Management: Collaborate with product managers and business stakeholders to translate complex technical requirements into actionable development plans.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years in a senior leadership or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
- AI Specialization: Proven track record of implementing complex machine learning algorithms and deploying production-ready AI models.
- Soft Skills: Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.