Job Description
Are you ready to define the future of artificial intelligence? Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our technical roadmap through 2026. We are on a mission to revolutionize the industry with scalable, ethical, and cutting-edge generative AI systems.
In this pivotal role, you will not only architect complex machine learning pipelines but also mentor a world-class team of engineers and researchers. You will be the bridge between theoretical research and production-grade implementation, ensuring our solutions are robust, scalable, and ready for the demands of the next decade.
Why Join Us? We offer a competitive salary, comprehensive benefits, and the opportunity to work on projects that will shape the future of technology.
Responsibilities
- Architect the 2026 Vision: Define and execute the technical roadmap for AI initiatives, ensuring alignment with business goals and industry trends.
- System Design: Design and implement scalable, fault-tolerant machine learning infrastructure using cloud-native technologies (AWS/GCP).
- Model Optimization: Lead the research and development of state-of-the-art models, focusing on performance optimization and cost efficiency.
- Tech Stack Leadership: Evaluate and integrate emerging technologies (e.g., LLMs, Vector Databases) into our existing ecosystem.
- Team Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting rigorous code reviews.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for non-technical stakeholders and executive leadership.
- Ethical AI: Ensure all AI systems adhere to ethical guidelines and industry best practices regarding bias and safety.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 7+ years of professional experience in software engineering, data science, or machine learning, with at least 3 years in a leadership or architectural role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Cloud Mastery: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex engineering challenges and deliver scalable solutions under tight deadlines.
- Communication: Exceptional verbal and written communication skills, with the ability to influence cross-functional teams.