Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our next-generation research initiatives. In this pivotal role, you will bridge the gap between theoretical machine learning and scalable, real-world infrastructure, ensuring our solutions are future-proof for the decade ahead.
We are looking for a leader who doesn't just adapt to the future—they build it. Join a team of elite engineers and data scientists pushing the boundaries of artificial intelligence.
Why Join Us?
- Work on cutting-edge autonomous systems and Generative AI models.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art office amenities.
- Professional development budget unlimited.
Responsibilities
- Architect Scalable Solutions: Design and deploy high-performance neural network architectures optimized for the computational demands of 2026.
- Strategic R&D: Lead research initiatives into next-gen algorithms, including Reinforcement Learning and Large Language Models (LLMs).
- System Integration: Oversee the integration of AI models into existing cloud infrastructure, ensuring low-latency processing and high availability.
- Talent Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Performance Optimization: Continuously refine model inference speeds and accuracy to meet enterprise-grade standards.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of distributed computing systems.
- Domain Knowledge: Strong background in Natural Language Processing (NLP) or Computer Vision.
- Problem Solving: Exceptional ability to tackle ambiguous problems and deliver robust solutions in dynamic environments.
- Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.