Job Description
We are seeking a visionary Lead AI Architect to define the technological landscape for the year 2026 and beyond. At Quantum Horizon Inc., we are building the infrastructure for next-generation generative AI and autonomous systems. You will be at the forefront of innovation, bridging the gap between theoretical machine learning breakthroughs and scalable production environments.
In this role, you will lead a team of elite engineers and researchers, architecting systems that are not only robust and secure but also ethically aligned with the future of humanity.
Responsibilities
- Spearhead R&D: Lead the research and development of advanced AI models, including LLMs and multimodal systems, targeting deployment in the 2026 roadmap.
- System Architecture: Design and implement scalable, high-performance machine learning pipelines and cloud-native infrastructure.
- Talent Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Ethical AI: Establish and enforce governance frameworks to ensure AI transparency, fairness, and safety in all deployments.
- Strategic Vision: Collaborate with C-suite executives to align technical roadmaps with business goals and future market trends.
- Performance Optimization: Drive initiatives to reduce latency and cost while maximizing model accuracy and throughput.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architect role within AI/ML.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Kubernetes, AWS, GCP) is required.
- Future-Ready Skills: Demonstrated experience with generative AI, reinforcement learning, or edge computing is highly preferred.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous, high-stakes technical challenges in fast-paced environments.