Job Description
We are not just building for today; we are architecting the future. Zenith Dynamics is seeking a visionary Strategic AI Architect (2026 Vision) to lead our transition into the next era of intelligence. This is not just a job; it is a mission to define the technical standards for 2026 and beyond. You will be at the forefront of deploying next-generation neural networks and scalable infrastructure designed to withstand the demands of a rapidly evolving digital landscape.
Why Join Us?
- Shape the 2026 roadmap for enterprise-grade AI integration.
- Work with a world-class team pushing the boundaries of generative AI and predictive modeling.
- Competitive compensation and equity package.
Responsibilities
- Define the 2026 AI Roadmap: Collaborate with C-suite executives to translate business goals into technical strategies for the 2026 timeframe.
- System Architecture: Design and oversee the implementation of scalable, fault-tolerant AI infrastructure and cloud-native solutions.
- Technology Leadership: Evaluate emerging technologies (e.g., Quantum-ready algorithms, advanced LLMs) to ensure our stack remains future-proof.
- Team Mentorship: Guide a high-performance team of ML engineers and data scientists in best practices for production-grade AI systems.
- Performance Optimization: Drive initiatives to reduce inference latency and improve model accuracy for real-time applications.
- Security & Compliance: Implement rigorous security protocols to protect sensitive data across all AI pipelines.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Technical Stack: Deep expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS, GCP, or Azure).
- 2026 Vision: Demonstrated ability to anticipate future tech trends and adapt systems for long-term scalability.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving complex, large-scale problems in high-pressure environments.