Job Description
We are seeking a visionary Senior AI Architect to define the technological roadmap for 2026. At Nexus Horizon, we are not just building software; we are engineering the future of human-machine interaction. If you are passionate about scalable AI systems, generative models, and the convergence of quantum computing with neural networks, this is your opportunity to lead the charge.
In this role, you will bridge the gap between theoretical research and production-grade infrastructure, ensuring our platforms remain at the cutting edge of the industry. Join a team of elite engineers and data scientists dedicated to solving the complex challenges of tomorrow.
Responsibilities
- Architectural Vision: Lead the strategic planning and architectural design for AI systems targeting the 2026 era, focusing on scalability, latency reduction, and energy efficiency.
- Model Deployment: Oversee the deployment and optimization of large-scale LLMs (Large Language Models) and multi-modal AI systems on cloud-native infrastructure.
- Roadmap Execution: Collaborate with product leaders to translate 2026 product goals into technical roadmaps, defining milestones and success metrics.
- Code Excellence: Establish and enforce high standards for code quality, testing, and CI/CD pipelines within the AI engineering department.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Innovation Labs: Explore emerging technologies (e.g., neuromorphic computing, edge AI) and prototype proof-of-concept solutions to drive product differentiation.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (Kubernetes, Docker).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning, with a portfolio demonstrating production deployment of AI models.
- Leadership: Proven track record of leading cross-functional teams and managing technical projects from conception to launch.
- Future-Forward Thinking: Ability to anticipate industry trends and adapt architecture to meet the demands of the 2026 technological landscape.