Job Description
We are looking for a visionary Senior AI Architect to join our elite engineering team. As we prepare for the technological landscape of 2026, we need a leader who can design scalable, robust, and ethically sound artificial intelligence systems. You will be at the forefront of revolutionizing how our clients interact with data, building the infrastructure that powers the next generation of intelligent applications.
Why join us?
- Work with cutting-edge Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Opportunity to shape the roadmap for enterprise-level AI solutions.
Responsibilities
- Architectural Leadership: Design and implement scalable AI/ML infrastructure and pipelines that support our long-term product vision.
- Model Development: Oversee the end-to-end lifecycle of machine learning models, from data ingestion to deployment and monitoring.
- Technical Strategy: Define technical strategies and best practices for AI integration across the organization.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Performance Optimization: Continuously optimize model performance, latency, and cost-efficiency.
- Research & Innovation: Stay abreast of the latest advancements in AI research (e.g., Transformers, Reinforcement Learning) and evaluate their applicability to our products.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (Ph.D. preferred).
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Programming: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- System Design: Deep understanding of distributed systems, data structures, and algorithms.
- Soft Skills: Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.