Job Description
At 2026 AI, we are not merely predicting the future; we are engineering it. We are looking for a visionary Senior AI Architect to lead the development of the next generation of sentient machine learning models. If you are passionate about pushing the boundaries of neural networks, ethical AI, and scalable infrastructure, this is your opportunity to define the standard for the future.
We are seeking a thought leader who can bridge the gap between theoretical research and production-grade systems. Join us in San Francisco and help shape the intelligence of tomorrow.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable AI infrastructure capable of handling billions of data points.
- Lead R&D: Spearhead research initiatives focused on next-gen Large Language Models (LLMs) and generative AI.
- Model Optimization: Fine-tune and optimize models for latency, throughput, and energy efficiency.
- Mentorship: Guide a team of top-tier data scientists and engineers in best practices and architectural decisions.
- Cross-Functional Collaboration: Partner with product and engineering teams to integrate AI solutions into core business workflows.
- Ethical AI Governance: Establish frameworks for responsible AI development and bias mitigation.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
- Modeling: Proven track record of deploying state-of-the-art NLP and computer vision models.
- Problem Solving: Ability to solve complex, ambiguous problems with innovative technical solutions.
- Leadership: Demonstrated ability to lead teams and drive technical vision from conception to deployment.