Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our next generation of generative intelligence systems. As we push the boundaries of artificial general intelligence, we need a technical leader who can translate complex algorithms into scalable, real-world applications.
In this pivotal role, you will not only design the architecture for our flagship models but also mentor a world-class team of engineers. If you thrive in a fast-paced, innovative environment and are passionate about the future of AI, we want to meet you.
Why Join Nexus Horizon?
- Impactful Work: Your code will influence how millions interact with AI in the future.
- Top-Tier Talent: Collaborate with PhDs and industry veterans from leading tech giants.
- Future-Proof: Work on bleeding-edge technology that defines the 2026 era.
Responsibilities
- Architect Scalable Systems: Design and implement robust, high-performance AI infrastructure capable of handling massive datasets and real-time inference.
- R&D Leadership: Spearhead research initiatives to pioneer new neural network architectures relevant to the 2026 technological landscape.
- Model Optimization: Refine existing models for efficiency, reducing latency and energy consumption without sacrificing accuracy.
- Technical Mentorship: Guide and mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Work closely with product managers and engineering teams to translate business requirements into technical solutions.
- Compliance & Ethics: Ensure all AI deployments adhere to ethical guidelines and data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a senior or leadership role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Large Language Models (LLMs).
- System Design: Deep understanding of distributed systems, cloud computing (AWS/Azure/GCP), and MLOps pipelines.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, ambiguous technical problems.
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders clearly and concisely.