Job Description
Are you ready to shape the trajectory of the next decade? Chronos Dynamics is seeking a visionary Senior AI Architect to lead our Project 2026 initiative. We are building the foundational infrastructure for a post-silicon computing era, and we need a technical leader who thrives on ambiguity and innovation.
In this role, you will define the architectural blueprint for our next-generation neural networks and quantum-ready interfaces. You won't just be writing code; you will be crafting the future of human-computer interaction. If you are obsessed with scalability, ethics in AI, and pushing the boundaries of what's possible, we want to hear from you.
Why join us?
- Work on a mission-critical initiative set to redefine the industry by 2026.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI engineers.
Responsibilities
- Architectural Leadership: Design and implement scalable, robust, and secure AI systems capable of processing exabytes of data by the 2026 deadline.
- Model Development: Spearhead the research and deployment of cutting-edge machine learning models, including Large Language Models (LLMs) and generative AI agents.
- Technical Strategy: Collaborate with cross-functional teams (Data Science, Security, Product) to define technical roadmaps and best practices.
- Performance Optimization: Continuously optimize inference latency and model accuracy to ensure real-time responsiveness in mission-critical applications.
- R&D Management: Lead a team of talented engineers in exploring emerging technologies such as neuromorphic computing and edge AI.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation protocols, and regulatory compliance standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of software engineering experience, with at least 5 years in a senior or lead AI/ML architecture role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (e.g., Apache Spark, Ray).
- System Design: Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Innovation: Proven track record of delivering complex AI projects on time and within budget.
- Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts for diverse stakeholders.