Job Description
We are seeking a visionary Senior AI Architect to spearhead our groundbreaking initiatives for the 2026 roadmap. In this pivotal role, you will define the technical strategy for our next-generation AI systems, ensuring scalability, security, and innovation. Join a team of elite engineers and data scientists pushing the boundaries of what is possible in artificial intelligence.
Why Join Us?
- Competitive compensation package and equity options.
- Work with cutting-edge technologies in a high-growth environment.
- Flexible remote-first culture with headquarters in the heart of San Francisco.
Key Responsibilities:
- Lead the architectural design and implementation of complex machine learning systems.
- Define the technical vision and roadmap for AI product evolution through 2026.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Mentor junior engineers and establish best practices for AI development.
- Ensure system performance, reliability, and scalability under high load.
- Stay ahead of industry trends and evaluate emerging AI technologies.
Qualifications:
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong understanding of Large Language Models (LLMs) and Generative AI.
- Experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Proven track record of leading high-impact technical projects.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.
Responsibilities
- Lead the architectural design and implementation of complex machine learning systems.
- Define the technical vision and roadmap for AI product evolution through 2026.
- Collaborate with cross-functional teams to integrate AI solutions into core products.
- Mentor junior engineers and establish best practices for AI development.
- Ensure system performance, reliability, and scalability under high load.
- Stay ahead of industry trends and evaluate emerging AI technologies.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Strong understanding of Large Language Models (LLMs) and Generative AI.
- Experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Proven track record of leading high-impact technical projects.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.