Job Description
The Opportunity
Chronos Tech Solutions is pioneering the infrastructure of tomorrow. We are seeking a visionary Future-Proof AI Architect to join our elite team in Austin. As we look toward 2026 and beyond, you will be responsible for designing resilient, scalable, and ethical artificial intelligence systems that can withstand the evolving digital landscape.
In this pivotal role, you won't just maintain legacy systems; you will architect the very foundations of tomorrow's intelligence. You will bridge the gap between generative AI and quantum-ready infrastructure, ensuring our solutions are future-ready.
Why Join Us?
- Work on cutting-edge projects that define the next decade of technology.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in Austin.
Responsibilities
- Design Future-Resilient Architectures: Engineer AI systems that are scalable and adaptable to the technological shifts expected by 2026.
- Ethical AI Implementation: Lead the integration of ethical guidelines and safety protocols into core machine learning pipelines.
- Hybrid Cloud Strategy: Develop strategies for seamless integration between on-premise quantum hardware and cloud-based AI models.
- System Resilience: Proactively identify potential vulnerabilities in AI decision-making processes and implement fail-safes.
- Team Mentorship: Guide junior engineers and data scientists in adopting future-proof coding practices and architectural patterns.
- Research & Development: Stay ahead of emerging trends in AI alignment, neuromorphic computing, and edge intelligence.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 5+ years of experience in AI architecture, Machine Learning Engineering, or Software Engineering.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and familiarity with quantum computing libraries (e.g., Qiskit).
- Cloud Mastery: Strong understanding of AWS, Azure, or Google Cloud Platform architecture with a focus on AI services.
- System Design: Proven track record of designing distributed systems capable of handling high-scale data processing.
- Future-Forward Mindset: Demonstrated ability to anticipate industry trends and apply them to long-term product strategy.