Job Description
Are you ready to architect the future of intelligence? Chronos Systems is seeking a visionary Next-Gen AI Architect to spearhead our 2026 roadmap. We are building the infrastructure for tomorrow, today, and we need a leader who can bridge the gap between theoretical innovation and scalable reality.
In this pivotal role, you will define the technical strategy for our upcoming generative AI suite and quantum-ready algorithms. If you thrive in ambiguity and are obsessed with pushing the boundaries of what's possible, this is your opportunity to lead a world-class engineering team.
Why Join Us?
- Work on cutting-edge projects that define the next decade of technology.
- Competitive compensation package including equity and performance bonuses.
- Unlimited PTO and a remote-first culture that values deep work.
- Access to state-of-the-art compute infrastructure and research grants.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable AI systems specifically engineered for the 2026 technological landscape, ensuring high performance and security.
- Strategic Planning: Translate business goals into technical roadmaps, defining milestones for the upcoming product cycles.
- Model Optimization: Lead initiatives to refine large language models and neural networks, improving inference speed and accuracy by 40%.
- Team Mentorship: Foster a culture of innovation, conducting code reviews, technical architecture sessions, and mentorship for junior and senior engineers alike.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to ensure seamless integration of AI solutions.
- Future-Proofing: Research emerging technologies (e.g., Neuromorphic computing, Edge AI) and propose prototypes for 2026 readiness.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier university.
- Experience: 7+ years of experience in software engineering, with at least 3 years in a lead or architect role within the AI/ML space.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- AI Mastery: Proven track record of designing and deploying production-grade LLMs or Generative AI applications.
- Problem Solving: Exceptional ability to solve complex, ambiguous technical challenges with innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.