Job Description
Shape the Future of Intelligence with Us.
We are FutureCore Systems, a pioneer in next-generation artificial intelligence. As we architect the technological roadmap for 2026, we are looking for a visionary Senior AI Architect to lead our R&D division. This is not just a job; it is an opportunity to define the standards of machine learning for the next decade.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for designing the neural architectures that power our autonomous agents and predictive analytics platforms. If you are passionate about pushing the boundaries of what AI can achieve and thrive in a fast-paced, high-stakes environment, we want to meet you.
Perks & Benefits:
- Competitive Equity Package & Performance Bonuses.
- Unlimited PTO and Flexible Remote/Hybrid Work.
- Access to the latest quantum computing resources.
- Health, Dental, and Vision insurance.
Responsibilities
- Lead the architectural design and implementation of large-scale Machine Learning and Deep Learning systems.
- Define the technical strategy for the 2026 product roadmap, ensuring scalability and robustness.
- Mentor a team of junior data scientists and engineers, fostering a culture of innovation.
- Optimize model performance for latency and throughput in real-time environments.
- Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
- Stay abreast of the latest research in Generative AI and Neural Networks to drive continuous improvement.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Deep understanding of Large Language Models (LLMs), Transformers, and NLP.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong background in software engineering best practices and system design.