Job Description
We are seeking a visionary Future-Ready AI Architect to spearhead the technological roadmap leading up to 2026. In this pivotal role, you will bridge the gap between cutting-edge AI research and scalable production systems, defining the infrastructure that powers the next generation of intelligent applications. You will work at the intersection of strategy and engineering to ensure our platform remains at the forefront of the industry.
Why Join Us?
- Work on projects that define the future of technology.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Strategic Roadmap: Define the long-term AI architecture and technical vision for the 2026 product line.
- System Design: Design scalable, fault-tolerant AI systems capable of handling massive data throughput.
- Research & Dev: Collaborate with R&D teams to integrate next-generation machine learning models into production environments.
- Team Leadership: Mentor a team of junior architects and engineers, fostering a culture of innovation and excellence.
- Performance Optimization: Continuously monitor system performance and implement optimizations to ensure real-time responsiveness.
- Compliance: Ensure all AI implementations adhere to ethical guidelines and data privacy regulations (GDPR, CCPA).
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software architecture, with at least 5 years specializing in AI/ML infrastructure.
- Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Strategic Thinking: Proven track record of translating complex business requirements into robust technical architectures.
- Leadership: Demonstrated ability to lead cross-functional teams and drive projects from conception to deployment.
- Problem Solving: Strong analytical skills with a focus on solving complex engineering challenges.