Job Description
Are you ready to architect the future of intelligent systems? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. In this pivotal role, you will design and deploy scalable, high-performance AI infrastructures that set the standard for the next generation of technology. You will be at the forefront of innovation, working with state-of-the-art models to solve complex challenges in machine learning and data processing.
Why Join Us?
- Work on ground-breaking projects that define the future of AI.
- Competitive compensation package and equity options.
- Flexible work environment with a focus on autonomy and impact.
We are looking for a technical leader who is not just proficient in code, but possesses a strategic mindset for building the future.
Responsibilities
- Architect and implement end-to-end machine learning pipelines using cutting-edge frameworks like TensorFlow and PyTorch.
- Lead a cross-functional team of data scientists and engineers to drive innovation and maintain high code quality.
- Research and evaluate emerging AI technologies, including Generative AI and Large Language Models, to maintain a competitive edge.
- Optimize model inference and training times for high-scale production environments.
- Define technical roadmaps and architectural patterns aligned with the company's 2026 strategic goals.
- Collaborate closely with product leaders to translate complex business goals into scalable technical solutions.
- Mentor junior engineers and establish best practices for AI development and deployment.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
- Strong understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Proven track record of leading high-performance engineering teams and managing large-scale projects.
- Experience with cloud platforms (AWS, GCP, or Azure) for scalable ML operations.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.