Job Description
Shape the Future of Technology in 2026
We are seeking a visionary Senior AI Horizon Architect to lead our R&D division focused on the technological landscape of 2026. As a pioneer in next-generation AI, we are building the infrastructure that will define the next decade of human-machine interaction. If you have a passion for cutting-edge technology and a strategic mind for scalable solutions, this is your opportunity to build the impossible.
In this role, you will bridge the gap between theoretical AI research and practical application, ensuring our roadmap aligns with global market trends for the year 2026. You will be the architect behind the algorithms that will power our core products, pushing the boundaries of what is currently possible.
Why Join Us?
- Work on projects that define the future of AI.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect and design scalable AI models and neural networks for the 2026 product roadmap.
- Lead a high-performance team of machine learning engineers and data scientists.
- Conduct feasibility studies on emerging technologies to guide long-term strategic decisions.
- Collaborate with cross-functional product teams to translate complex algorithms into user-friendly features.
- Establish best practices for data governance, ethics in AI, and model deployment.
- Identify and mitigate risks associated with next-gen tech implementation.
- Present technical concepts to executive stakeholders and non-technical audiences.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of progressive experience in software engineering, specifically in AI/ML architecture.
- Proven track record of leading large-scale technical projects and teams.
- Deep expertise in Python, PyTorch, TensorFlow, or equivalent deep learning frameworks.
- Strong understanding of Generative AI, Large Language Models (LLMs), and predictive analytics.
- Excellent problem-solving skills with a focus on innovation and scalability.
- Ability to thrive in a fast-paced, ambiguous startup environment.