Job Description
We are looking for a visionary Senior AI Architect to lead our cutting-edge research division. As we build towards the 2026 technological paradigm shift, you will be responsible for architecting the neural infrastructure that powers our autonomous agents and next-gen generative models.
This is not just a software engineering role; it is a strategic position to define the standards of artificial intelligence for the next decade. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software.
Why join us?
- Work on systems that will define the future of human-machine interaction.
- Competitive equity package with a focus on long-term value creation.
- Access to the latest hardware accelerators and research environments.
Responsibilities
- Design & Build: Architect scalable distributed systems for large Language Models (LLMs) and reinforcement learning agents.
- Research & Development: Lead the investigation into emerging AI paradigms, including Neuromorphic computing and edge AI deployment for 2026 standards.
- Optimization: Engineer high-performance inference pipelines to maximize throughput and minimize latency in real-time applications.
- Team Leadership: Mentor a team of world-class data scientists and engineers, fostering a culture of innovation and technical excellence.
- Product Strategy: Collaborate with product leadership to translate complex technical concepts into market-ready AI solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field from a top-tier institution.
- Experience: 5+ years of professional experience in building production-grade AI systems, with at least 2 years in a leadership or architect role.
- Technical Skills: Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow. Proven track record of optimizing models for GPU/TPU clusters.
- Architecture: Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, or Azure).
- Problem Solving: Ability to tackle ambiguous, high-complexity problems with creative, scalable solutions.