Job Description
We are seeking a visionary Senior AI Architect to join Visionary Labs and spearhead our groundbreaking The 2026 Initiative. In this pivotal role, you will design and deploy the next generation of artificial intelligence systems that will define the technological landscape of the coming decade.
As a leader in our engineering division, you will bridge the gap between theoretical research and production-scale deployment. You will work in a fast-paced, high-performance environment where your code directly impacts millions of users. If you are passionate about pushing the boundaries of what is possible with Machine Learning and want to be at the forefront of innovation, we want to hear from you.
Why Join Us?
- Work on The 2026 Initiative, a flagship project aimed at revolutionizing autonomous decision-making systems.
- Competitive compensation package including equity and performance bonuses.
- Top-tier health, dental, and vision insurance.
- Flexible remote and hybrid work options.
Responsibilities
- Architect and implement scalable machine learning infrastructure for large-scale data processing.
- Lead the research and development of cutting-edge AI models, focusing on LLMs and generative AI applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Ensure system reliability, security, and ethical AI compliance in all deployed models.
- Stay ahead of industry trends to recommend innovative solutions for our core products.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Minimum of 7+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Proven track record of deploying production-ready ML models at scale.
- Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.