Job Description
We are not just building software; we are architecting the future. Zenith Dynamics is seeking a visionary Lead AI Architect to define our roadmap for the 2026 Strategic Horizon. In this pivotal role, you will bridge the gap between theoretical AI capabilities and tangible business solutions, leading a world-class team in the development of next-generation generative models and autonomous systems.
As we prepare for the next era of technological singularity, you will have the autonomy to experiment, innovate, and scale. If you are passionate about the intersection of quantum computing, deep learning, and strategic infrastructure, this is your opportunity to leave a lasting legacy.
Why join us?
- Work on projects that redefine industry standards.
- Access to cutting-edge hardware and R&D labs.
- Competitive equity package and benefits.
Responsibilities
- Lead the architectural vision for AI systems targeting the 2026 release cycle, ensuring scalability and ethical AI compliance.
- Design and implement advanced machine learning pipelines using Python, TensorFlow, and PyTorch.
- Mentor and develop high-performing engineering teams, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional stakeholders to translate complex technical requirements into strategic roadmaps.
- Drive research initiatives in neural architecture search and edge computing optimization.
- Oversee the deployment of large-scale models to production environments, ensuring high availability and low latency.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 10+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
- Deep expertise in Deep Learning frameworks (TensorFlow, PyTorch) and distributed computing systems (Kubernetes, AWS, GCP).
- Proven track record of leading teams through the full product lifecycle from conception to launch.
- Strong understanding of ethical AI principles, bias mitigation, and regulatory compliance.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.