Job Description
At FutureCore Systems, we are architecting the neural networks of tomorrow. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead our 2026 Readiness Program. In this role, you will define the roadmap for our next-generation autonomous agents and quantum-integrated machine learning systems.
We are looking for a thought leader who doesn't just adapt to the future but helps shape it. You will be responsible for overseeing the transition from current generative models to the agentic AI architectures that will dominate the landscape in 2026. If you are passionate about pushing the boundaries of artificial intelligence and want to work at the bleeding edge of technology, this is your opportunity.
Responsibilities
- Architect and deploy scalable, high-performance AI systems designed for the 2026 technological landscape.
- Lead the migration strategy towards Autonomous Agent frameworks and multi-modal learning models.
- Collaborate with quantum computing researchers to integrate classical AI with quantum algorithms.
- Define technical roadmaps and best practices for AI safety, ethics, and governance.
- Mentor junior engineers and data scientists to foster a culture of innovation.
- Optimize neural network efficiency to support real-time processing on edge devices.
- Present technical strategies to executive stakeholders and product teams.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in Machine Learning, Deep Learning, or AI Architecture.
- Proven expertise in Large Language Models (LLMs), Transformers, and RAG (Retrieval-Augmented Generation).
- Strong proficiency in Python, TensorFlow, PyTorch, and C++.
- Experience with cloud platforms (AWS, GCP, or Azure) and distributed systems.
- Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a major plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.