Job Description
Are you ready to architect the future? Nexus Horizon AI is seeking a visionary Lead AI Architect to spearhead our strategic roadmap leading up to 2026. In this pivotal role, you will define the technical foundation for next-generation autonomous systems, predictive AI models, and sustainable computing infrastructures. Join us in shaping the technological landscape of tomorrow.
We are looking for a hands-on leader who thrives in ambiguity and possesses the technical depth to solve complex, large-scale problems. If you are passionate about pushing the boundaries of artificial intelligence and want to build systems that will define the decade, we want to hear from you.
Responsibilities
- Architectural Vision: Design and implement scalable, high-performance AI infrastructure capable of supporting global deployment and real-time data processing.
- Team Leadership: Lead a diverse team of machine learning engineers, data scientists, and DevOps specialists in developing proprietary algorithms and models.
- Strategic Roadmap: Define and execute the technical roadmap for 2026, ensuring alignment with business goals and industry innovation trends.
- System Optimization: Oversee the migration of legacy systems to modern, cloud-native architectures, focusing on latency reduction and cost efficiency.
- Security & Compliance: Ensure all AI systems adhere to strict data privacy standards, cybersecurity protocols, and international regulatory compliance.
- Technical Mentorship: Foster a culture of continuous learning and technical excellence within the engineering department.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Experience: 10+ years of experience in software engineering, machine learning architecture, and leading high-performance engineering teams.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Cloud Mastery: Strong expertise in cloud platforms (AWS, GCP, or Azure) with a focus on Kubernetes and microservices architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous technical problems in high-stakes environments.
- Communication: Exceptional ability to translate complex technical concepts into clear business value for stakeholders.