Job Description
Are you ready to define the trajectory of Artificial Intelligence? Nexus Horizon Technologies is seeking a visionary Next-Gen AI Architect to spearhead our initiatives in 2026. We are not just building software; we are architecting the cognitive infrastructure of the future. If you thrive on cutting-edge challenges and want to lead the charge in Generative AI and Agentic Workflows, this is your opportunity.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work in a collaborative, high-performance environment where innovation is the currency and impact is the metric.
Responsibilities
- Lead AI Infrastructure Design: Architect and implement scalable, high-performance AI/ML pipelines designed to handle the data demands of 2026 and beyond.
- Generative Model Development: Spearhead the research and deployment of next-generation Large Language Models (LLMs) and multimodal agents.
- System Optimization: Optimize inference speeds and reduce computational costs using advanced quantization and edge-computing strategies.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and responsible AI deployment.
- Collaborative Innovation: Partner with product and engineering teams to integrate AI capabilities into user-centric solutions seamlessly.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI engineering, with at least 2 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Architecture Skills: Proven track record designing distributed systems and cloud-native AI solutions on AWS or GCP.
- Research Mindset: Strong publication record or active contribution to open-source AI projects is highly preferred.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.