Job Description
We are pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior Strategic AI Architect to lead the design and implementation of our next-generation Agentic AI ecosystem. In this role, you will bridge the gap between theoretical artificial general intelligence and practical, scalable enterprise solutions.
Your work will define the architecture of autonomous systems, synthetic data generation, and quantum-enhanced machine learning models. If you are ready to shape the future of technology and lead a team of elite engineers, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the 2026 tech landscape.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
- Access to state-of-the-art computational resources.
Responsibilities
- Architect and lead the development of scalable Agentic AI frameworks for enterprise integration.
- Define the technical roadmap for the transition to Quantum-Enhanced Machine Learning by 2026.
- Oversee the design of secure, decentralized data pipelines using federated learning.
- Mentor senior engineering teams and establish best practices for ethical AI governance.
- Collaborate with cross-functional teams to align technical strategies with business goals.
- Research and prototype novel neural network architectures capable of long-horizon reasoning.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in Artificial Intelligence and Machine Learning architecture.
- Deep expertise in Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and Vector Databases.
- Experience with Quantum Computing concepts and hybrid quantum-classical algorithms.
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Proven track record of leading high-performing engineering teams through complex product launches.
- PhD or Master’s degree in Computer Science, Computational Neuroscience, or a related field is highly preferred.