Job Description
Are you ready to build the infrastructure for the future? 2026 is a pioneering tech firm dedicated to shaping the world of tomorrow through advanced Artificial Intelligence and next-generation computational solutions. We are seeking a visionary Lead AI Architect to join our elite engineering team in San Francisco.
In this pivotal role, you will define the architectural roadmap for our flagship AI models, ensuring scalability, security, and efficiency. You will bridge the gap between theoretical research and practical deployment, leading a team of top-tier engineers in crafting the technologies that will define the era of 2026 and beyond.
Responsibilities
- Design and architect scalable, high-performance AI systems capable of processing petabytes of data in real-time.
- Lead the end-to-end development lifecycle of machine learning models, from research prototyping to production deployment.
- Collaborate with cross-functional teamsâincluding product managers, data scientists, and security expertsâto align technical solutions with business goals.
- Mentor and guide junior engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Establish best practices for code quality, system monitoring, and disaster recovery within the AI infrastructure.
- Stay at the forefront of AI research, evaluating emerging technologies to integrate cutting-edge advancements into our core platform.
Qualifications
- Masterâs or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of professional experience in software engineering, with at least 3 years in a senior or lead AI/ML architecture role.
- Deep expertise in Python, PyTorch, TensorFlow, and major cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of distributed systems, high availability architectures, and data privacy regulations (GDPR, CCPA).
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.