Job Description
Join the Architects of Tomorrow
Vertex Horizon is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead 2026 AI Architect to spearhead the development of our next-generation, self-evolving artificial intelligence systems. This is a unique opportunity to shape the future of enterprise intelligence while working with state-of-the-art infrastructure.
About the Role
As the Lead 2026 AI Architect, you will be responsible for designing the architectural blueprints for AI models that can predict, adapt, and learn in real-time. You will work closely with cross-functional teams to integrate quantum-ready algorithms into our core platforms. If you are passionate about the intersection of advanced mathematics, ethical AI, and scalable cloud infrastructure, we want to hear from you.
Key Objectives
- Define the technical vision for Vertex Horizon's 2026 AI Roadmap.
- Design and implement robust, fault-tolerant AI systems capable of processing exabytes of data.
- Oversee the deployment of Generative AI and Large Language Model (LLM) infrastructures.
Responsibilities
- Design and oversee the architecture of high-performance AI systems tailored for 2026 computational standards.
- Lead a team of senior data scientists and engineers to innovate in the fields of Neural Networks and Deep Reinforcement Learning.
- Collaborate with security teams to ensure the ethical and secure deployment of autonomous agents.
- Mentor junior staff and conduct code reviews to maintain the highest engineering standards.
- Stay ahead of industry trends in AI, Quantum Computing, and Edge Intelligence.
- Translate complex business requirements into scalable technical solutions.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in a lead architectural role.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of Generative AI models, NLP, and computer vision.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.