Job Description
Are you ready to architect the future? Nexus Horizon Tech is seeking a visionary Lead AI Architect to define the technological roadmap leading up to and beyond 2026. In this high-impact role, you will spearhead the development of next-generation artificial intelligence systems that will redefine industry standards.
We are not just looking for a coder; we are looking for a strategic thinker who can anticipate the technological shifts of 2026. You will be at the forefront of integrating cutting-edge deep learning models with scalable cloud infrastructure, ensuring our solutions are resilient, ethical, and transformative.
Join us in building the intelligence layer of tomorrow, today.
Responsibilities
- Define the 2026 Vision: Create and communicate the long-term technical roadmap for AI infrastructure, identifying key trends and innovations for the 2026 timeframe.
- System Architecture: Design and oversee the architecture of large-scale, distributed AI systems capable of handling high-volume data streams.
- Team Leadership: Mentor a diverse team of data scientists, ML engineers, and researchers, fostering a culture of innovation and excellence.
- Strategic Partnerships: Collaborate with C-level executives and product teams to align AI capabilities with business objectives.
- R&D Leadership: Drive research and development initiatives focused on Generative AI, Natural Language Processing, and predictive analytics.
- Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines, data privacy regulations, and industry standards.
Qualifications
- Experience: Minimum of 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Education: Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).
- Visionary Mindset: Demonstrated ability to forecast future tech trends and apply them to business solutions.
- Leadership: Proven track record of leading high-performance engineering teams.
- Communication: Exceptional ability to translate complex technical concepts into strategic business value.