Job Description
Join Nexus Horizon Solutions as we architect the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge research and development initiatives. In this pivotal role, you will define the roadmap for next-generation artificial intelligence systems that will define the future of enterprise automation.
You will work at the intersection of strategy and engineering, bridging the gap between theoretical AI advancements and practical, high-impact applications. If you are passionate about shaping the future and possess an uncanny ability to foresee industry trends, this is your opportunity to lead the charge.
Why Join Us?
- Work on projects that define the AI landscape for the coming decade.
- Competitive equity package and top-tier compensation structure.
- Access to state-of-the-art computing resources and R&D labs.
- A culture that prioritizes innovation, autonomy, and continuous learning.
Responsibilities
- Define and execute the long-term AI strategy for the organization, specifically targeting capabilities relevant to the 2026 technology landscape.
- Lead the research and design of advanced machine learning models, including Large Language Models (LLMs) and generative AI systems.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to integrate AI solutions into core products.
- Oversee the architecture of scalable AI infrastructure, ensuring high availability, security, and performance.
- Identify emerging trends and technologies to drive competitive advantage and innovation.
- Mentor junior architects and data scientists, fostering a culture of technical excellence.
- Present complex technical concepts and strategic roadmaps to executive stakeholders.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI architecture and machine learning.
- Proven track record of designing and deploying large-scale AI systems in production environments.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Strong understanding of cloud architectures (AWS, Azure, GCP) and MLOps practices.
- Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced startup environment.
- Demonstrated leadership experience in guiding technical teams and strategic initiatives.