Job Description
Are you ready to define the trajectory of Artificial Intelligence in 2026? At Vertex Horizon, we are not just building software for today; we are architecting the infrastructure for the next era of intelligent systems. We are seeking a visionary Future-Ready AI Architect to lead our strategic initiatives, ensuring our predictive models and generative algorithms remain at the cutting edge of technology.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing the 2026 AI roadmap, integrating quantum-ready algorithms, and ensuring our systems are resilient against emerging cyber-threats. If you have a passion for pushing the boundaries of what is possible in machine learning and a desire to mentor the next generation of tech leaders, we want to meet you.
Why Join Us?
We offer competitive equity packages, remote flexibility, and a culture that rewards innovation and ethical AI practices. Come help us build the future.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the technical vision for our next-generation machine learning infrastructure, ensuring scalability and future-proofing.
- Architect Advanced Models: Design and implement complex deep learning architectures, including Generative AI and Multimodal models, optimized for high-performance computing.
- Ethical AI Governance: Establish frameworks for bias mitigation, transparency, and data privacy, ensuring compliance with evolving global regulations.
- System Integration: Oversee the integration of AI systems with legacy infrastructure, ensuring seamless data flow and operational efficiency.
- Talent Development: Mentor senior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the AI team.
- Strategic Collaboration: Work closely with product managers and C-suite executives to translate complex technical concepts into business-driving solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face ecosystems.
- Domain Knowledge: Proven track record of deploying large-scale LLMs or Generative AI products to production environments.
- Problem Solving: Exceptional ability to solve complex algorithmic problems and optimize model latency and accuracy.
- Leadership: Demonstrated experience leading cross-functional teams and driving technical strategy from conception to deployment.