Job Description
Are you ready to define the next era of technology? At Nexus Core Technologies, we are not just building software; we are architecting the future. We are seeking a visionary Senior Futurist AI Architect to spearhead our 2026 Vision Roadmap.
In this pivotal role, you will bridge the gap between theoretical innovation and practical application. You will work closely with C-level executives and engineering teams to design scalable AI ecosystems that will dominate the market landscape by 2026. If you have an obsession with cutting-edge technology and a drive to leave a lasting legacy, this is your opportunity to lead.
Responsibilities
- Define and execute the long-term AI strategy for the 2026 Vision roadmap, aligning technical capabilities with business objectives.
- Lead the research and integration of emerging technologies, including Generative AI, Quantum Computing, and Neuro-Symbolic AI.
- Architect high-performance, scalable machine learning pipelines and data lakes to support predictive analytics.
- Mentor a team of elite data scientists and engineers, fostering a culture of continuous innovation and technical excellence.
- Collaborate with product management to translate complex AI capabilities into user-centric features.
- Identify and mitigate technical risks associated with deploying advanced AI models in production environments.
- Establish thought leadership through white papers, industry speaking engagements, and internal knowledge sharing.
Qualifications
- 10+ years of experience in software engineering, data science, or AI architecture, with at least 5 years in a leadership role.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of successfully launching AI-driven products or platforms that have had significant market impact.
- Strong understanding of ethical AI principles, data privacy regulations (GDPR/CCPA), and responsible AI development.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- A Master’s degree in Computer Science, Machine Learning, or a related field is strongly preferred.
- Experience with quantum computing libraries or futuristic computing paradigms is a major plus.