Job Description
We are seeking a visionary Principal AI Architect to lead our strategic technology roadmap. As we accelerate toward the 2026 technological revolution, your mission is to bridge the gap between cutting-edge AI research and scalable, enterprise-grade infrastructure. You will define the architectural blueprints that will power the next generation of autonomous systems.
In this high-impact role, you will not just manage code; you will shape the future of our product ecosystem. We are looking for a thought leader who thrives in ambiguity and possesses the technical depth to execute complex, long-term visions.
Responsibilities
- Define the 2026 Vision: Lead the architectural strategy for next-generation AI agents, ensuring scalability and robustness for future market demands.
- Technical Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and excellence in our R&D division.
- System Design: Design and oversee the implementation of distributed systems, focusing on high availability, security, and low-latency performance.
- Research Integration: Translate academic research into production-ready software, integrating emerging technologies such as LLM orchestration and edge computing.
- Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and executive leadership to secure buy-in for long-term projects.
- Performance Optimization: Continuously monitor system performance and drive initiatives to reduce latency and improve model inference speeds.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 3 years in a Principal Architect or Lead Engineering role.
- Core Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Strategic Thinking: Proven track record of defining technology roadmaps and leading teams through multi-year product lifecycles.
- Problem Solving: Exceptional ability to troubleshoot complex, systemic issues in high-load environments.
- Communication: Strong written and verbal communication skills, capable of influencing cross-functional teams.