Job Description
Shape the Future of Technology
We are seeking a visionary Future-Ready AI Architect to spearhead the development of systems designed for the year 2026 and beyond. In this high-impact role, you will bridge the gap between emerging quantum computing paradigms and next-generation artificial intelligence. You will not just write code; you will architect the foundational logic that will power autonomous systems and complex data ecosystems for the next decade.
Why Join Us?
- Work on cutting-edge projects that define the technological horizon.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with premium office amenities in the heart of San Francisco.
Responsibilities
- Architect AI Solutions: Design and implement scalable machine learning models and neural networks capable of processing quantum data structures and real-time global streams.
- Strategic Planning: Define the technical roadmap for AI integration in our products, ensuring alignment with the 2026 technological vision.
- System Optimization: Oversee the deployment of microservices and containerized environments (Docker/Kubernetes) to ensure high availability and low latency.
- R&D Leadership: Lead research initiatives into emerging technologies, including neuromorphic computing and edge AI processing.
- Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Code Review & Mentorship: Maintain high engineering standards by conducting rigorous code reviews and mentoring junior developers.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX. Experience with quantum computing libraries (Qiskit, Cirq) is a plus.
- Cloud Mastery: Strong understanding of AWS, Azure, or Google Cloud Platform infrastructure and serverless architecture.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative algorithmic approaches.
- Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.