Job Description
Are you ready to architect the future of intelligent systems? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead the development of next-generation Agentic AI solutions. In this pivotal role, you will define the technical roadmap for our proprietary Large Language Models (LLMs) and autonomous agents, ensuring scalability, security, and ethical alignment for the enterprise of tomorrow.
We are not just building software; we are defining the standards for 2026. You will work in a high-velocity environment where cutting-edge research meets production-grade engineering. If you have a passion for pushing the boundaries of what AI can achieve, this is your opportunity to lead the charge.
Responsibilities
- Architectural Leadership: Design and implement robust, scalable AI infrastructure capable of handling high-volume, low-latency requests.
- Model Development: Lead the research and implementation of advanced NLP models, focusing on retrieval-augmented generation (RAG) and multi-modal capabilities.
- Technical Strategy: Define the long-term technical vision for AI at Nexus Horizon, evaluating emerging technologies like Agentic workflows and Edge AI.
- MLOps & Pipeline Management: Oversee the full machine learning lifecycle, from data governance and feature engineering to model training and continuous deployment.
- Team Mentorship: Foster a culture of innovation by mentoring junior architects and engineers, conducting code reviews, and establishing best practices.
- Stakeholder Collaboration: Translate complex technical concepts into actionable insights for product managers, C-suite executives, and external partners.
- Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a Lead Architect or Senior ML Engineer role.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud architecture (AWS/GCP/Azure).
- AI Mastery: Proven track record of deploying large-scale LLMs and implementing fine-tuning strategies.
- Problem Solving: Exceptional ability to deconstruct complex problems and architect elegant, scalable solutions.
- Soft Skills: Excellent communication skills with the ability to influence cross-functional teams and drive technical consensus.