Job Description
Are you ready to architect the future? FutureCore Dynamics is seeking a visionary Senior AI Architect to lead the next generation of intelligent systems. As we accelerate towards our 2026 roadmap, we need a technical leader who thrives on solving complex problems and building scalable neural architectures that define the industry standard.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms are robust, ethical, and future-proof. You will work closely with cross-functional teams to integrate cutting-edge machine learning models into our core infrastructure.
Why join us?
- Work on projects that shape the trajectory of technology for the next decade.
- Competitive compensation package with equity options.
- Top-tier benefits and a culture of continuous innovation.
Responsibilities
- Design and architect scalable, high-performance machine learning pipelines and neural networks.
- Lead research initiatives to implement state-of-the-art Generative AI and Large Language Models (LLMs).
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Collaborate with product managers to define technical requirements for 2026 product releases.
- Optimize existing models for inference speed and resource efficiency on edge devices.
- Ensure data privacy, security, and ethical AI practices are integrated into all development cycles.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of professional experience in Machine Learning Engineering or AI Architecture.
- Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark).
- Proven track record of deploying ML models to production environments at scale.
- Experience with MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.