Job Description
We are seeking a visionary 2026 AI Architect to spearhead our cutting-edge research division. In this pivotal role, you will define the architectural blueprint for next-generation artificial intelligence systems designed to solve complex global challenges. You will bridge the gap between theoretical research and scalable production systems, ensuring our solutions are robust, ethical, and at the forefront of technological innovation. Join us in building the future of intelligent systems.
Why Join Us?
- Work with a world-class team of engineers and data scientists.
- Access to top-tier hardware and research facilities.
- Competitive benefits and equity packages.
Responsibilities
- System Architecture: Design and implement scalable, secure, and high-performance AI infrastructure and machine learning pipelines.
- R&D Leadership: Lead research initiatives exploring emerging AI paradigms, including generative models, reinforcement learning, and edge AI.
- Technical Strategy: Translate complex business requirements into technical roadmaps and architectural blueprints for the 2026 roadmap.
- Team Mentorship: Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Code Review: Conduct rigorous code reviews to ensure code quality, maintainability, and adherence to best practices.
- Collaboration: Partner with product managers and stakeholders to define feature sets and ensure successful project delivery.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Algorithm Design: Strong understanding of deep learning algorithms, NLP, and computer vision.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.