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. In this role, you will not just build models; you will architect the infrastructure that powers the future of human-computer interaction. Join a team that is obsessed with scalability, ethics, and the cutting edge of Generative AI. We offer a competitive salary, equity packages, and the opportunity to work on projects that will define the industry standard for the next decade.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement scalable, fault-tolerant AI architectures capable of handling billions of transactions.
- Lead R&D Initiatives: Spearhead research into Large Language Models (LLMs) and multimodal AI to stay ahead of the 2026 market curve.
- Optimize Performance: Drive the optimization of model inference latency and resource utilization across cloud and edge environments.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and compliance with emerging global regulations.
- Team Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of continuous learning and innovation.
- Stakeholder Communication: Translate complex technical concepts into actionable business strategies for executive leadership.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Model Mastery: Proven track record of deploying state-of-the-art models, including Transformers and diffusion models.
- Cloud Proficiency: Hands-on experience with major cloud providers (AWS, GCP, Azure) in a production environment.
- Problem Solving: Ability to tackle ambiguous, high-stakes problems with creative, data-driven solutions.