Job Description
We are looking for a visionary Senior AI Architect to join Nexus Horizon Labs and define the technological landscape of 2026. As a pioneer in next-generation generative intelligence, we are building systems that don't just process data—they understand context, emotion, and nuance. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and machine learning, we want to hear from you.
Why Join Us?
In a rapidly evolving digital ecosystem, we offer the agility of a startup with the resources of an industry leader. You will have the autonomy to design scalable architectures, mentor top-tier talent, and drive the strategic direction of our AI products.
Key Benefits:
- Competitive salary and equity package.
- Comprehensive health, dental, and vision coverage.
- Unlimited PTO and flexible remote work options.
- Professional development budget for conferences and certifications.
Responsibilities
- Architect and design scalable, fault-tolerant AI infrastructure for 2026-ready products.
- Lead the end-to-end machine learning lifecycle, from data ingestion and model training to deployment and monitoring.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Implement best practices for MLOps, ensuring high availability and performance of AI models.
- Stay at the forefront of AI research, evaluating and integrating cutting-edge technologies like LLMs and autonomous agents.
- Mentor junior engineers and architects, fostering a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- Minimum of 5-7 years of experience in software engineering, with a strong focus on machine learning and artificial intelligence.
- Deep proficiency in programming languages such as Python, PyTorch, or TensorFlow.
- Proven experience designing distributed systems and large-scale data pipelines.
- Strong understanding of deep learning architectures, natural language processing (NLP), and computer vision.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.