Job Description
We are seeking a visionary Senior AI Architect to lead our engineering division into the 2026 era of artificial intelligence. At Nexus Horizon Technologies, we don't just adapt to the future; we define it.
In this pivotal role, you will be the technical mastermind behind our next-generation generative AI platforms. You will define the architectural roadmap, ensuring our solutions are not only cutting-edge but scalable, ethical, and robust. If you are passionate about pushing the boundaries of Machine Learning and want to influence the industry standard for the coming decade, we want to hear from you.
Responsibilities
- Architectural Vision: Lead the technical strategy for scalable AI/ML systems designed to meet 2026 enterprise standards.
- Model Engineering: Design and implement advanced Machine Learning pipelines using state-of-the-art frameworks like PyTorch and TensorFlow.
- Generative AI Leadership: Drive the adoption and optimization of Large Language Models (LLMs) for production environments.
- Team Mentorship: Mentor a high-performing engineering team, fostering a culture of innovation, code excellence, and continuous learning.
- Collaboration: Bridge the gap between theoretical research and practical application by working closely with product and data science teams.
- Infrastructure: Oversee cloud infrastructure (AWS/GCP) architecture to ensure high availability, security, and cost-efficiency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or lead role.
- Technical Expertise: Deep expertise in NLP, Computer Vision, or Reinforcement Learning.
- Programming: Proficiency in Python, C++, and experience with modern cloud-native architectures.
- Problem Solving: Proven track record of deploying high-volume AI systems in complex, real-world scenarios.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.