Job Description
Are you ready to build the infrastructure of tomorrow? Horizon AI Solutions is seeking a visionary Principal AI Architect to lead our groundbreaking initiatives leading up to the technological paradigm shift of 2026.
In this pivotal role, you won't just maintain systems; you will architect the future. You will define the roadmap for our next-generation neural networks and scalable cloud ecosystems, ensuring our solutions remain at the bleeding edge of innovation.
We are looking for a thought leader who thrives in ambiguity and has a passion for deploying Artificial Intelligence that solves complex, real-world problems. Join us in defining the standard for intelligent systems in the coming decade.
Responsibilities
- Define the strategic technical vision for AI infrastructure and systems architecture leading into the 2026 era.
- Architect scalable, fault-tolerant systems capable of processing high-volume AI workloads in real-time.
- Lead a team of senior engineers and data scientists in deploying cutting-edge Machine Learning models.
- Collaborate with C-suite executives and product managers to translate futuristic concepts into executable technical roadmaps.
- Ensure security, privacy, and compliance standards are met across all emerging technology stacks.
- Drive innovation by researching and implementing next-gen technologies such as Generative AI and Edge Computing.
Qualifications
- 10+ years of experience in software architecture, specifically within Artificial Intelligence and Machine Learning domains.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
- Proven track record of leading technical teams through complex digital transformations and large-scale deployments.
- Strong understanding of cloud platforms (AWS, Azure, or GCP) with a focus on serverless and microservices architecture.
- Exceptional communication skills with the ability to bridge the gap between technical stakeholders and executive leadership.
- A Master’s degree or PhD in Computer Science, AI, or a related technical field is preferred.