Job Description
We are seeking a visionary Senior AI & Future Tech Architect to join Nexus Horizon Technologies. As we prepare for the technological landscape of 2026, we are building the foundational systems that will redefine how humans interact with the digital world. This is a rare opportunity to work on cutting-edge generative AI, predictive modeling, and next-gen infrastructure.
In this role, you won't just maintain systems; you will architect the future. You will lead our engineering team in deploying robust, scalable AI solutions that solve complex problems for enterprise clients. If you are driven by innovation and want to leave a lasting impact on the technology of tomorrow, we want to meet you.
Why join us?
We offer a competitive salary, comprehensive health benefits, and significant equity opportunities. Our culture is built on autonomy, transparency, and a relentless pursuit of excellence.
Responsibilities
- Lead the architectural design and implementation of AI systems, ensuring scalability and security for the 2026 roadmap.
- Develop and optimize large-scale machine learning models and deep learning algorithms.
- Collaborate with cross-functional teams to integrate AI capabilities into existing product ecosystems.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Research emerging trends in Artificial General Intelligence (AGI) and automation to drive product innovation.
- Define best practices for data governance, model training, and ethical AI usage.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- 7+ years of professional experience in software engineering with a strong focus on AI/ML.
- Expert proficiency in Python, TensorFlow, PyTorch, and modern data processing frameworks.
- Deep experience with cloud infrastructure (AWS, GCP, or Azure) and microservices architecture.
- Strong understanding of Natural Language Processing (NLP) and Computer Vision.
- Proven track record of leading engineering teams through complex technical challenges.