Job Description
Join the Architects of the Future
Are you ready to define the technological landscape of 2026? 2026 Dynamics is at the forefront of the Artificial General Intelligence (AGI) revolution. We are seeking a visionary Senior AI Systems Architect to lead the development of next-generation neural architectures that will redefine human-machine interaction.
In this pivotal role, you will not just write code; you will architect the very foundation of our future intelligence systems. You will work in a high-performance environment where cutting-edge research meets scalable production engineering.
Why Join Us?
- Work on projects that directly impact the trajectory of AI development in the year 2026.
- Competitive compensation package and equity options.
- Access to state-of-the-art hardware and quantum computing resources.
- Collaborate with a world-class team of researchers and engineers.
What You Will Do:
We are looking for a leader who can bridge the gap between theoretical research and practical application. Your mission is to design robust, scalable, and efficient AI systems capable of operating in complex, real-world environments.
Responsibilities
- System Design: Architect end-to-end AI systems, including data pipelines, model training infrastructure, and inference engines.
- Research Leadership: Spearhead research initiatives into novel neural network architectures, focusing on efficiency, scalability, and safety.
- Technical Strategy: Define the long-term technical roadmap for AI systems, ensuring alignment with company goals and industry standards.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with cross-functional teams (product, research, security) to integrate AI solutions into core products.
- Optimization: Continuously monitor, optimize, and scale existing models to handle increased throughput and latency requirements.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML system architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray, or similar).
- Research: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or leading open-source contributions.
- Problem Solving: Exceptional ability to solve complex, ambiguous technical problems and design resilient systems.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.