Job Description
Shape the Future with Terra 2026
Are you a visionary engineer ready to define the technological landscape of the next decade? Terra 2026 is seeking a world-class Senior AI Architect to lead our revolutionary research division. We are building the infrastructure for a sustainable, AI-driven tomorrow, and we need your expertise to bridge the gap between theoretical AI and tangible reality.
Join a team that is not just predicting the future, but actively engineering it. We value radical innovation, transparency, and the relentless pursuit of excellence. If you are ready to push the boundaries of what is possible in Artificial General Intelligence (AGI) and quantum computing, we want to hear from you.
What You Will Do
- Lead the architectural design of scalable, next-generation AI systems capable of autonomous decision-making.
- Collaborate with cross-functional teams of researchers, data scientists, and engineers to translate abstract concepts into robust codebases.
- Oversee the implementation of ethical AI protocols and ensure compliance with global regulatory standards.
- Drive the integration of quantum algorithms into classical machine learning workflows.
- Mentor junior developers and conduct technical workshops to foster a culture of continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 7 years of experience in designing and deploying large-scale machine learning systems.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of leading high-performance engineering teams through complex technical challenges.
- Strong understanding of neural network architectures, reinforcement learning, and NLP.
- Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.
Responsibilities
- Define and execute the technical vision for Terra 2026's core AI products.
- Optimize existing models for speed, accuracy, and energy efficiency.
- Conduct rigorous code reviews and maintain high engineering standards.
- Identify emerging technologies and evaluate their potential impact on our roadmap.
- Build and maintain robust APIs and microservices for external integrations.
Qualifications
- PhD in a relevant technical discipline is highly preferred.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong background in data engineering and big data technologies (Spark, Hadoop).
- Ability to thrive in a fast-paced, agile environment.
- Fluency in English is required.