Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. As we gear up for the future of tech, we need a leader who can bridge the gap between theoretical AI breakthroughs and scalable, real-world applications.
In this pivotal role, you will not only architect robust machine learning systems but also shape the ethical frameworks and strategic direction of our AI products. You will collaborate with cross-functional teams to deliver cutting-edge solutions that redefine user experiences and operational efficiency. Join us in building the future of intelligent automation.
Responsibilities
- Lead R&D: Spearhead research and development for advanced AI models, focusing on predictive analytics and natural language processing.
- System Architecture: Design and implement scalable, secure, and high-performance AI infrastructure to support 2026 product roadmaps.
- Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Strategic Planning: Define technical roadmaps and align AI initiatives with broader business goals and long-term 2026 vision.
- Ethical AI: Ensure all AI implementations adhere to strict ethical guidelines and bias mitigation strategies.
- Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and drive adoption of AI solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years in a senior AI/ML architect role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks; strong understanding of cloud architecture (AWS/Azure/GCP).
- Leadership: Proven track record of leading high-performance teams and managing large-scale technical projects.
- Communication: Exceptional ability to translate technical jargon into business value for diverse audiences.
- Innovation: Deep passion for emerging technologies and a forward-thinking mindset regarding the future of AI.