Job Description
We are on the brink of a technological revolution. At Quantum Horizon Labs, we are building the foundational infrastructure for the year 2026. As a Senior AI Architect, you will not just build software; you will engineer the future of intelligent systems that will define the next decade of human progress.
We are looking for a visionary leader who thrives in ambiguity and possesses the technical prowess to turn futuristic concepts into reality. If you want to leave a lasting legacy by shaping the AI landscape of 2026, this is your opportunity.
Why Join Us?
- Next-Gen Impact: Work on cutting-edge projects that will be industry standards by 2026.
- Autonomy: We offer total ownership of architectural decisions and innovation.
- Equity: Competitive stake in the company's rapid growth.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable AI architectures capable of handling exascale data processing.
- Lead R&D: Spearhead research initiatives focused on Generative AI and autonomous agents for the 2026 roadmap.
- Model Optimization: Oversee the fine-tuning and deployment of large language models (LLMs) to ensure peak performance and efficiency.
- Ethical AI Governance: Establish and enforce ethical guidelines and safety protocols for AI deployment to ensure responsible innovation.
- Technical Mentorship: Mentor a team of brilliant engineers and data scientists, fostering a culture of continuous learning and excellence.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate strategic 2026 vision into technical specifications.
- Future-Proofing: Continuously evaluate emerging technologies (Quantum Computing, Neuromorphic Engineering) to integrate into our core stack.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- Experience: Minimum 7+ years of experience in software engineering, with at least 4 years in a Senior or Lead Architect role.
- Core Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and C++.
- AI Mastery: Proven track record of designing and deploying production-grade NLP and Computer Vision models.
- System Design: Exceptional skills in distributed systems, cloud architecture (AWS/GCP/Azure), and microservices.
- Problem Solving: Demonstrated ability to tackle complex, undefined problems with innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.