Job Description
At 2026 Technologies, we are not just predicting the future; we are engineering it. We are a pioneering research firm specializing in next-generation artificial intelligence and autonomous systems. Our mission is to redefine human-machine interaction by 2026, and we are seeking a visionary Senior AI Architect to lead our core infrastructure team.
In this pivotal role, you will design the neural architectures that power our flagship products. You will work in a high-performance environment with top-tier engineers, pushing the boundaries of what is possible with deep learning, natural language processing, and predictive analytics. If you are passionate about building scalable, robust systems and want to leave a lasting legacy in the tech industry, 2026 is the place for you.
Why Join 2026?
- Work on cutting-edge AI models with real-world impact.
- Competitive salary and equity package.
- Flexible remote-first culture with a physical hub in Seattle.
- Continuous learning opportunities and access to the latest hardware.
Responsibilities
- Lead System Architecture: Design and oversee the end-to-end architecture of complex machine learning pipelines and scalable data processing systems.
- Model Development: Spearhead the research and implementation of state-of-the-art deep learning models, focusing on optimization and efficiency.
- Technical Mentorship: Guide a team of talented data scientists and ML engineers, fostering a culture of innovation and best practices.
- Cloud Infrastructure: Collaborate with DevOps teams to deploy models on scalable cloud environments (AWS/GCP) ensuring high availability and security.
- Performance Tuning: Continuously monitor, evaluate, and improve the latency and throughput of AI inference engines.
- Strategic Planning: Define technical roadmaps and make critical architectural decisions aligned with business goals.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in designing and implementing machine learning systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and big data technologies (Spark, Kafka).
- Cloud Mastery: Demonstrated experience deploying models on major cloud platforms and containerization (Docker, Kubernetes).
- Leadership: Proven track record of leading cross-functional teams and managing technical projects from conception to deployment.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to non-technical stakeholders.