Job Description
Are you ready to shape the digital landscape of tomorrow? Stellaris Dynamics is seeking a visionary Senior AI Architect to lead our cutting-edge 2026 Vision Initiative. We are pushing the boundaries of what is possible in artificial intelligence, and we need a technical mastermind to design the infrastructure that will define the next era of computing.
In this pivotal role, you will not just build models; you will architect ecosystems. You will work with a world-class team to integrate quantum-ready algorithms, large language models (LLMs), and real-time neural networks into scalable products that serve millions. If you thrive in a high-performance environment and want to leave a lasting legacy in the tech industry, this is your opportunity to lead the charge into the future.
Why Join Us?
- Competitive salary and equity package.
- Remote-first culture with a focus on work-life balance.
- Access to cutting-edge hardware and research facilities.
- Opportunities for rapid career growth and leadership.
Responsibilities
- Design and architect scalable AI infrastructure specifically tailored for the 2026 roadmap.
- Lead the end-to-end development of deep learning models, including training, fine-tuning, and deployment.
- Collaborate with product managers and engineers to define technical requirements and innovative solutions.
- Optimize neural network performance to ensure low latency and high accuracy in production environments.
- Mentor junior data scientists and architects, fostering a culture of continuous learning and innovation.
- Stay ahead of emerging AI trends to ensure our technology remains at the forefront of the industry.
- Implement robust data governance and security protocols for sensitive model inputs.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, and Keras.
- Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Proven track record of leading cross-functional teams and managing complex technical projects.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.