Job Description
We are seeking a visionary Senior AI Architect to join the founding team at 2026. In an era defined by rapid technological evolution, you will be responsible for designing the next generation of machine learning infrastructure. You won't just be building models; you will be architecting the neural pathways of the future. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and are looking for a role that demands excellence, innovation, and leadership, we want to meet you.
Why Join 2026?
- Impact First: Your code will directly influence how millions of users interact with AI.
- Top-Tier Team: Work alongside industry veterans from Google, OpenAI, and DeepMind.
- Future-Proof: Be part of a company built for the year 2026 and beyond.
Responsibilities
- Design & Architecture: Design scalable, fault-tolerant, and high-performance AI infrastructure capable of handling petabytes of data.
- Model Development: Lead the research and implementation of state-of-the-art machine learning models, including LLMs and generative AI systems.
- Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Define the technical roadmap for AI integration across all product lines, ensuring alignment with business goals.
- Optimization: Continuously monitor and optimize model performance, latency, and resource efficiency.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.
Qualifications
- Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior or lead architectural role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Problem Solving: Proven track record of solving complex, unstructured problems in large-scale environments.
- Leadership: Strong ability to lead cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Current Trends: Deep understanding of the latest developments in Generative AI, NLP, and Computer Vision.