Job Description
Are you ready to architect the digital landscape of tomorrow? Nexus Horizon is seeking a visionary Senior AI Strategist to define our technology roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable business solutions. You will lead a team of engineers and data scientists, ensuring our AI initiatives remain at the forefront of innovation.
Join us in shaping the future of human-machine interaction and ethical AI deployment. We offer a competitive salary, equity package, and a culture that prioritizes continuous learning and radical transparency.
Responsibilities
- Define and execute the comprehensive technology roadmap for the 2026 strategic vision, focusing on Generative AI and predictive analytics.
- Lead the integration of advanced machine learning models into core business workflows to drive efficiency and innovation.
- Collaborate with executive leadership to identify high-impact opportunities for AI adoption and digital transformation.
- Establish best practices for data governance, ethical AI usage, and model transparency.
- Oversee the research and development of proprietary AI tools to maintain a competitive market advantage.
- Mentor and guide a cross-functional team of data scientists and engineers to foster professional growth.
- Conduct market analysis to anticipate emerging trends in artificial intelligence and automation.
Qualifications
- 10+ years of experience in software engineering, data science, or artificial intelligence leadership roles.
- Deep technical expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Proven track record of managing large-scale AI projects from concept to deployment.
- Strong understanding of cloud architecture (AWS, Azure, or GCP) and MLOps pipelines.
- Exceptional strategic thinking skills with the ability to translate complex technical concepts into business value.
- Excellent communication skills, capable of presenting to both technical and non-technical stakeholders.
- Master’s degree in Computer Science, AI, or a related technical field is preferred.