Job Description
We are seeking a visionary Senior AI Architect to define the technological landscape of 2026. As we prepare to launch our flagship platform, we need a leader who can translate a bold future vision into a scalable, high-performance technical reality. If you are passionate about pushing the boundaries of Generative AI and Machine Learning, this is your opportunity to shape the future.
Why Join Us?
• Competitive salary and equity package reflecting 2026 market standards.
• Work with cutting-edge technologies in a dynamic, fast-paced environment.
• Direct impact on the strategic roadmap for our next major product cycle.
• Comprehensive benefits and professional development opportunities.
Responsibilities
- Define the 2026 Roadmap: Lead the architecture and engineering strategy to deliver breakthrough AI capabilities by the 2026 target date.
- System Design: Design scalable, fault-tolerant distributed systems for large-scale machine learning model training and inference.
- Team Leadership: Mentor a high-performing team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Technology Integration: Evaluate and integrate emerging AI frameworks and hardware accelerators to stay ahead of the curve.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and product teams.
- Optimization: Drive initiatives to improve model efficiency, reduce latency, and optimize cloud infrastructure costs.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 5 years specializing in AI, Machine Learning, or Deep Learning.
- Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, AWS, GCP).
- Strategic Vision: Demonstrated ability to define long-term technical strategies and execute them over multi-year horizons.
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Soft Skills: Exceptional communication skills with the ability to collaborate across cross-functional teams.
- Problem Solving: Proven track record of solving complex technical challenges in production environments.