Job Description
We are seeking a visionary 2026 Strategic AI Architect to lead the next generation of artificial intelligence initiatives at Nexus Horizon. In this pivotal role, you will define the architectural roadmap for our AI infrastructure, ensuring scalability, security, and innovation that aligns with the technological landscape of the near future.
As a key member of our elite technical team, you will bridge the gap between theoretical AI advancements and practical, high-impact engineering solutions. Join us in building the digital foundation for the year 2026 and beyond.
Responsibilities
- Define and execute the long-term AI architectural strategy for the organization, focusing on GenAI, NLP, and predictive modeling.
- Design scalable, fault-tolerant machine learning pipelines and cloud infrastructure architectures.
- Lead the migration of legacy systems to modern AI-driven platforms, ensuring zero downtime and data integrity.
- Collaborate with product managers and engineering leads to translate business requirements into technical AI solutions.
- Establish best practices for AI ethics, data privacy, and model governance.
- Mentor senior engineers and architects, fostering a culture of continuous learning and innovation.
- Stay ahead of emerging trends in quantum computing and neural networks to inform architectural decisions.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Proven track record of designing and deploying large-scale machine learning systems in production environments.
- Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Certifications in cloud architecture or AI engineering are highly preferred.