Job Description
Are you ready to define the digital landscape of 2026?
Global Horizon Systems is at the forefront of technological evolution, and we are seeking a visionary AI Readiness Lead to spearhead our strategic initiatives. In this pivotal role, you will bridge the gap between current technological capabilities and the future demands of 2026, ensuring our infrastructure is scalable, secure, and ready for the next generation of artificial intelligence.
We are not just looking for a manager; we are looking for a Strategic Architect who can foresee industry trends, optimize our data ecosystems, and lead a high-performing team in building the foundation for tomorrow.
Why Join Us?
- Impactful Work: Directly influence the roadmap for AI integration in enterprise solutions.
- Innovation First: Work with cutting-edge tools and methodologies ahead of the mainstream market.
- Competitive Package: Industry-leading salary, comprehensive benefits, and equity options.
Responsibilities
- Architect and oversee the implementation of scalable AI infrastructure designed to meet 2026 standards of performance and security.
- Lead cross-functional teams in the development of predictive analytics models and automated decision-making systems.
- Conduct rigorous risk assessments and compliance audits to ensure alignment with evolving data privacy regulations.
- Forecast emerging technology trends (e.g., Quantum Computing, Neuromorphic Engineering) and advise executive leadership on strategic pivots.
- Mentor senior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
- Collaborate with product management to define feature sets that leverage AI capabilities for maximum user impact.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
- Minimum of 7+ years of experience in software engineering, data science, or AI architecture, with at least 3 years in a leadership or strategic planning role.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud architectures (AWS, Azure, or GCP).
- Proven track record of successfully delivering complex AI projects from conception to production.
- Strong understanding of MLOps, data governance, and ethical AI principles.
- Exceptional communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.