Job Description
Are you ready to define the technological landscape of 2026? At Cybernetic Systems, we are not merely forecasting trends; we are architecting the infrastructure for a hyper-connected future. We are seeking a visionary Senior AI Architect to lead our flagship Project 2026, a cutting-edge initiative focused on quantum-enhanced neural networks and autonomous decision-making systems.
In this role, you will bridge the gap between theoretical AI potential and scalable, production-grade engineering. You will work with a world-class team of data scientists, quantum engineers, and frontend visionaries to build the operating systems of tomorrow.
Why join us?
- Work on next-gen technology that will define the decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium health benefits.
Responsibilities
- Design and oversee the end-to-end architecture for Project 2026, ensuring scalability, security, and high performance.
- Lead the integration of quantum computing algorithms with classical machine learning models.
- Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Define technical roadmaps and evaluate emerging technologies (e.g., neuromorphic computing) to align with the 2026 vision.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Conduct rigorous code reviews and architecture audits to maintain system integrity.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strong understanding of quantum computing concepts and their application in AI (bonus points for experience with Qiskit or Cirq).
- Experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Proven track record of leading large-scale deployments and managing technical debt.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.