Job Description
We are looking for a visionary Future AI Architect to join Zenith Dynamics and help define the technological landscape of 2026. In this role, you will not just implement existing solutions; you will architect the foundational systems required for tomorrow's breakthroughs in autonomous intelligence and quantum computing integration.
Our mission is to accelerate the transition to a hyper-connected, sustainable future. You will work at the intersection of deep learning, edge computing, and ethical AI governance. If you are passionate about building systems that think, adapt, and evolve, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the next decade of technology.
- Competitive compensation package including equity.
- Flexible remote-first hybrid work environment.
Responsibilities
- Design and deploy scalable, next-generation AI architectures capable of processing exabyte-scale data streams.
- Lead R&D initiatives focusing on Generative AI, Reinforcement Learning, and predictive modeling for 2026 market demands.
- Collaborate with cross-functional teams to integrate AI solutions into legacy systems and cloud infrastructure.
- Ensure all AI models adhere to ethical guidelines, bias mitigation standards, and regulatory compliance (GDPR, AI Act).
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Prototype and validate novel algorithms for autonomous decision-making processes in complex environments.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with a strong focus on machine learning and AI systems.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
- Proven track record of leading large-scale AI projects from conception to production deployment.
- Strong understanding of cloud ecosystems (AWS, GCP, or Azure) and edge computing paradigms.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.