Job Description
Are you ready to architect the technological landscape of 2026? Nexus Dynamics is seeking a visionary AI Automation Architect to lead our next-generation autonomous systems division. As we prepare to launch our flagship 2026 product suite, we need a technical expert who can bridge the gap between advanced machine learning and scalable operational infrastructure.
In this pivotal role, you won't just be maintaining systems; you will be defining the future of human-machine collaboration. You will work alongside world-class researchers and engineers to build intelligent agents capable of redefining efficiency in the enterprise sector.
Why Join Us?
- Work on cutting-edge projects that define the 2026 tech horizon.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Architect Future-Proof Systems: Design and deploy scalable AI frameworks and autonomous agents intended for the 2026 market release.
- Lead Roadmap Execution: Translate high-level 2026 strategic goals into concrete technical architectures and implementation timelines.
- Model Optimization: Fine-tune Large Language Models (LLMs) and neural networks to ensure peak performance in real-world enterprise environments.
- Integration & Automation: Oversee the integration of AI solutions with legacy and modern cloud infrastructures to streamline business operations.
- R&D Collaboration: Partner with R&D teams to prototype experimental technologies, pushing the boundaries of what's possible in AI automation.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field. PhD preferred.
- Experience: 5+ years of experience in software engineering, machine learning, or AI automation.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
- AI Expertise: Deep understanding of NLP, Computer Vision, and LLM fine-tuning techniques.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.