Job Description
Join the Vanguard of Future Technology
Are you ready to architect the next generation of intelligent systems? 2026 Systems is a pioneering force in the AI revolution, dedicated to building the infrastructure that will define the technological landscape of the future. We are seeking a world-class Lead AI Architect to lead our elite engineering team in Seattle.
In this role, you won't just maintain legacy systems; you will design the neural foundations of tomorrow. You will collaborate with top-tier researchers and engineers to deploy cutting-edge machine learning models at scale, ensuring our solutions are not only powerful but ethically sound and future-proof.
Why join us?
- Work on groundbreaking projects that impact billions.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities.
- Access to the latest hardware and research tools.
Responsibilities
- Design and architect scalable, high-performance AI and machine learning systems tailored for the 2026 ecosystem.
- Lead a team of data scientists and engineers, providing mentorship and technical direction.
- Oversee the full machine learning lifecycle, from data ingestion and feature engineering to model deployment and MLOps.
- Collaborate with cross-functional stakeholders to translate complex business requirements into technical roadmaps.
- Ensure system reliability, security, and compliance with global data standards.
- Research emerging technologies in AI, Quantum Computing, and predictive analytics to maintain a competitive edge.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a senior architecture or lead role.
- Proven expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of distributed systems, data pipelines, and large-scale data processing (Spark, Kafka).
- Exceptional problem-solving skills and a track record of delivering complex projects on time.
- Excellent communication skills, capable of bridging the gap between technical teams and executive leadership.