Job Description
Join Nexus Horizon Labs, a pioneering force in Next-Generation AI, as we prepare to redefine the technological landscape for the year 2026. We are seeking a visionary Lead AI Architect to spearhead the development of autonomous systems capable of operating at the edge of human and machine intelligence.
In this pivotal role, you will not just build models; you will architect the very infrastructure of tomorrow. You will work with a world-class team of data scientists, quantum computing researchers, and ethical AI specialists to solve problems that were previously deemed unsolvable.
Why join us?
- Work on cutting-edge projects that will shape the future of technology.
- Competitive compensation package with equity opportunities.
- Flexible remote and hybrid work options.
- Access to state-of-the-art hardware and cloud infrastructure.
Responsibilities
- Architect Design: Design and deploy scalable, fault-tolerant AI architectures capable of processing petabytes of real-time data streams.
- Leadership: Mentor a high-performance engineering team, fostering a culture of innovation and continuous learning.
- Research & Development: Stay ahead of the curve by integrating emerging technologies such as Neuromorphic Computing and Generative AI into our core product suite.
- Optimization: Drive performance optimization strategies to ensure low-latency inference and high-efficiency training loops.
- Stakeholder Collaboration: Translate complex technical concepts into actionable roadmaps for executive leadership and product managers.
- Ethical AI: Establish governance frameworks to ensure responsible AI deployment and compliance with global data regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in leading AI/ML initiatives.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), Computer Vision, or Reinforcement Learning.
- Leadership: Proven track record of managing cross-functional teams and delivering complex projects on time.
- Communication: Exceptional verbal and written communication skills, capable of articulating technical strategy to diverse audiences.