Job Description
We are seeking a visionary Lead AI Architect (2026 Horizon) to define the technological trajectory of our next-generation AI infrastructure. As we prepare for the strategic year 2026, you will be at the forefront of integrating cutting-edge machine learning models with scalable cloud ecosystems.
In this role, you will not only build systems but also architect the future. You will bridge the gap between theoretical AI research and practical, high-performance engineering, ensuring our solutions remain competitive in a rapidly evolving landscape.
Why Join Us?
• Work on projects that shape the future of human-computer interaction.
• Competitive compensation package with equity options.
• Flexible remote-first culture with a collaborative HQ in Seattle.
Responsibilities
- Architect and design end-to-end AI solutions for the 2026 roadmap, focusing on scalability and performance.
- Lead a team of senior engineers and data scientists in deploying Large Language Models (LLMs) and generative AI tools.
- Define technical standards and best practices for machine learning operations (MLOps) and data governance.
- Collaborate with product management to translate complex AI capabilities into user-centric features.
- Conduct rigorous code reviews and ensure system reliability through comprehensive testing strategies.
- Stay ahead of emerging trends in quantum computing and edge AI to inform long-term technical strategy.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a senior or lead architectural role.
- Expert proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
- Proven track record of designing fault-tolerant systems that handle high-volume data streams.
- Strong understanding of distributed systems, microservices architecture, and database management.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.