Job Description
Are you ready to define the technological landscape of the next decade? Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our Project 2026 initiative. In this role, you will be at the forefront of developing scalable, autonomous systems designed for the year 2026 and beyond.
About the Role
We are building the infrastructure for tomorrow. As a Senior AI Architect, you will bridge the gap between theoretical research and production-grade deployment, ensuring our AI solutions are robust, ethical, and future-proof.
Responsibilities
- Define and execute the technical vision for the 2026 AI roadmap.
- Design and implement scalable machine learning pipelines and neural architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into core products.
- Mentor junior engineers and conduct technical code reviews.
- Stay ahead of industry trends in Generative AI and Autonomous Agents.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5+ years of experience in AI/ML engineering or software architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or JAX.
- Proven track record of deploying LLMs or large-scale ML models.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
Responsibilities
- Define and execute the technical vision for the 2026 AI roadmap.
- Design and implement scalable machine learning pipelines and neural architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into core products.
- Mentor junior engineers and conduct technical code reviews.
- Stay ahead of industry trends in Generative AI and Autonomous Agents.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5+ years of experience in AI/ML engineering or software architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or JAX.
- Proven track record of deploying LLMs or large-scale ML models.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).