Job Description
Join the 2026 Visionary Team at Horizon Tech
We are not just building software for today; we are architecting the infrastructure for tomorrow. As a Senior AI Architect, you will be at the forefront of defining our technology roadmap for the year 2026 and beyond. You will lead the charge in integrating cutting-edge generative AI models into our core products, ensuring scalability, security, and ethical AI practices.
Why Join Us?
• Impactful Work: Shape the future of AI in enterprise solutions.
• Future-Ready: Work in an environment that anticipates the needs of 2026.
• Competitive Compensation: Industry-leading salary and equity packages.
Responsibilities
- Architectural Leadership: Design and implement scalable AI/ML infrastructure pipelines capable of handling petabyte-scale data growth by 2026.
- Model Strategy: Define the technical strategy for deploying Large Language Models (LLMs) and generative AI tools across the organization.
- Team Mentorship: Lead a team of data scientists and engineers, conducting code reviews and technical architecture discussions.
- Future-Proofing: Research emerging technologies (e.g., quantum computing interfaces, neuromorphic chips) to prepare our architecture for the future.
- Collaboration: Partner with product and engineering teams to translate business requirements into robust technical solutions.
- Ethical AI: Implement guidelines and safeguards to ensure AI outputs are fair, transparent, and bias-free.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 8 years of experience in software engineering, with at least 4 years in AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS/GCP/Azure).
- Strategic Thinking: Proven track record of defining long-term technical roadmaps and leading cross-functional projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Deep understanding of distributed systems, microservices, and high-availability architecture.