Job Description
We are seeking a visionary Lead AI Architect to define the technological roadmap for our company through 2026 and beyond. In this pivotal role, you will be responsible for designing, building, and deploying cutting-edge artificial intelligence systems that drive our core product innovation. You will lead a high-performance team of data scientists and engineers, ensuring our infrastructure is scalable, secure, and ready for the next generation of neural computing.
Why Join Us?
As we approach the technological milestones of 2026, we offer a unique opportunity to shape the future of human-machine interaction. You will work in a collaborative, high-growth environment with competitive benefits, stock options, and the chance to define the standards of the industry.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of end-to-end AI infrastructure, focusing on scalability and performance for 2026 workloads.
- Research & Development: Spearhead research into emerging AI paradigms, including generative models and reinforcement learning, to stay ahead of industry trends.
- Team Management: Mentor and lead a cross-functional team of AI engineers and researchers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Define the long-term AI strategy, aligning technical roadmaps with business objectives and market demands.
- Performance Optimization: Continuously optimize model inference times and reduce resource consumption to ensure cost-effective deployment.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architectural role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS, GCP).
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Large Language Models (LLMs).
- Problem Solving: Strong analytical skills with a track record of solving complex technical challenges.
- Visionary Mindset: Ability to anticipate future technological shifts and prepare infrastructure accordingly.