Job Description
We are building the future of technology, and we are looking for a visionary Lead AI Architect to help us define the landscape of 2026 and beyond. At Nexus Future Systems, we are not just predicting trends; we are engineering the reality of tomorrow. If you are passionate about generative AI, quantum machine learning, and autonomous systems, this is your chance to lead a world-class engineering team.
In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will architect the neural infrastructure that powers our next-generation products, ensuring our solutions are not only cutting-edge but also robust and secure.
Responsibilities
- Architect Scalable AI Solutions: Design and implement the core neural network architecture for our flagship products, focusing on generative models and large language models.
- Lead Technical Strategy: Define the technical roadmap for AI development, aligning long-term research goals with business objectives for the 2026 tech horizon.
- Team Leadership & Mentorship: Recruit, mentor, and retain top-tier AI engineers and data scientists, fostering a culture of innovation and excellence.
- Research & Development: Stay at the forefront of AI advancements, evaluating emerging technologies like Neuro-Symbolic AI and Federated Learning to integrate them into our stack.
- Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership role within AI/ML development.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Strategic Vision: Demonstrated ability to envision and execute on long-term technical roadmaps with a focus on future-proofing infrastructure.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.