Job Description
Are you ready to define the future of technology? Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our 2026 Strategic Vision. In this pivotal role, you will be responsible for architecting the next generation of artificial intelligence solutions that will drive our company's growth for the decade ahead. If you have a passion for innovation, a deep understanding of machine learning, and the ability to translate complex technical strategies into business value, we want to meet you.
As a key member of our executive technical team, you will work closely with C-level leadership to define the roadmap for 2026 and beyond, ensuring our infrastructure is scalable, secure, and future-proof.
Responsibilities
- Define and execute the 2026 AI roadmap in alignment with company-wide strategic goals.
- Design and implement advanced machine learning models and neural networks to solve complex business problems.
- Lead a team of talented engineers and data scientists, fostering a culture of innovation and continuous improvement.
- Oversee the architecture of our data pipelines, ensuring high availability, scalability, and data integrity.
- Collaborate with product managers to integrate cutting-edge AI capabilities into our core products.
- Stay ahead of industry trends in AI, quantum computing, and cloud infrastructure to drive competitive advantage.
- Establish best practices for AI ethics, governance, and security.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (10+ years of experience).
- Proven track record of leading large-scale AI initiatives and defining long-term technical strategies.
- Expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Demonstrated leadership skills with the ability to mentor and inspire high-performing technical teams.
- Excellent communication skills, capable of bridging the gap between technical teams and non-technical stakeholders.
- Experience in defining and implementing AI governance and ethical frameworks.