Job Description
We are looking for a visionary Senior AI Architect to lead the technical strategy for Project 2026, our revolutionary initiative in next-generation generative AI infrastructure. In this role, you will design the architectural backbone that powers the next decade of intelligent automation and quantum-ready machine learning models.
Why join Project 2026?
At FutureCore Systems, we are not just building software; we are engineering the future. You will work with a world-class team of engineers, data scientists, and quantum physicists to solve the most complex scalability and latency challenges in AI. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, this is your opportunity to leave a lasting legacy.
Responsibilities
- Design and implement scalable, high-performance AI infrastructure capable of handling exabyte-scale data processing.
- Lead the architectural transition to quantum-ready machine learning algorithms and frameworks.
- Collaborate with cross-functional teams to define product roadmaps and technical specifications for Project 2026.
- Optimize existing neural network models for real-time inference and edge deployment.
- Mentor senior engineers and conduct code reviews to ensure best practices in security, efficiency, and scalability.
- Stay ahead of emerging AI trends, including Large Language Models (LLMs) and autonomous agents.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Strong understanding of cloud-native architectures (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with quantum computing libraries (Qiskit, Cirq) is highly preferred.
- Proven track record of leading high-stakes technical projects from conception to deployment.