Job Description
We are seeking a visionary Lead AI Architect to pioneer the technological advancements defining the era of 2026. At Zenith Future Systems, we are not just building software; we are architecting the cognitive infrastructure of tomorrow. You will lead a world-class team in developing autonomous systems, advanced generative models, and next-gen neural interfaces that will reshape industries.
If you are passionate about the bleeding edge of Artificial General Intelligence and possess the technical prowess to lead complex engineering initiatives, we want to hear from you.
Why Join Us?
- Work on mission-critical projects that define the future of technology.
- Competitive compensation package and equity options.
- Flexible remote-first hybrid policy.
- Access to cutting-edge hardware and cloud resources.
Responsibilities
- Design and implement scalable, high-performance machine learning pipelines for autonomous decision-making systems.
- Lead research initiatives focused on General Artificial Intelligence (AGI) architectures and neural-symbolic integration.
- Optimize deep learning models for real-time inference on edge devices and distributed clusters.
- Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.
- Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
- Ensure data privacy, security, and ethical AI practices are maintained at all stages of development.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in Machine Learning Engineering, Deep Learning, or NLP.
- Proficiency in Python, PyTorch, TensorFlow, and modern AI frameworks.
- Strong experience with large-scale distributed computing systems (Kubernetes, AWS, GCP).
- Deep understanding of reinforcement learning, transformer architectures, and optimization algorithms.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.