Job Description
Are you ready to shape the digital landscape of 2026 and beyond?
Nexus Horizon is pioneering the technological advancements required for the year 2026 and beyond. We are seeking a visionary Senior AI Solutions Architect to lead the development of next-generation Generative AI and Machine Learning systems. You will be at the forefront of defining the technical roadmap for our flagship products, ensuring scalability, security, and ethical AI integration.
As a key member of our innovation team, you will bridge the gap between complex mathematical models and production-grade software. We value engineers who are not just proficient in current technologies but are eager to explore the cutting-edge paradigms that will define the future.
Responsibilities
- Architect & Design: Design and implement scalable AI infrastructure and pipelines capable of handling high-volume data streams for the 2026 market landscape.
- Generative AI Leadership: Spearhead the integration of Large Language Models (LLMs) and generative frameworks to enhance product capabilities.
- Technical Strategy: Define the technical vision for AI adoption, ensuring alignment with business goals and long-term scalability.
- MLOps Implementation: Oversee the deployment and maintenance of machine learning models in production environments using CI/CD pipelines.
- Performance Optimization: Continuously monitor, evaluate, and optimize model accuracy and computational efficiency.
- Team Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and best practices.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering and machine learning architecture.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of deep learning architectures.
- Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Future-Forward Mindset: Demonstrated ability to research and implement emerging technologies (e.g., Transformer models, Reinforcement Learning).
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable strategies for stakeholders.