Job Description
The Future is Here. Join Horizon 2026 Labs, a cutting-edge research organization pioneering the next generation of Artificial Intelligence. We are not just building for today; we are architecting the intelligent systems that will define the 2026 era. We are seeking a visionary Senior Generative AI Architect to lead the development of autonomous agents and advanced multimodal models.
In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering. You will define the architectural standards for our next-generation LLMs and ensure they are robust, ethical, and future-proof.
Why Horizon 2026?
- Impact: Work on projects that will shape the industry landscape for years to come.
- Autonomy: Enjoy the freedom to design systems from the ground up without bureaucratic red tape.
- Equity: Competitive stake in the company's massive growth trajectory.
Key Responsibilities:
Responsibilities
- Design and implement scalable architecture for large-scale Generative AI models and autonomous agents.
- Lead the research and deployment of cutting-edge NLP techniques, including RAG (Retrieval-Augmented Generation) and fine-tuning strategies.
- Optimize model inference performance for edge and cloud environments to ensure real-time responsiveness.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Establish best practices for AI safety, security, and ethical deployment.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications:
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (5+ years of experience can substitute for a degree).
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven experience building and deploying Large Language Models (LLMs) at scale.
- Strong understanding of distributed systems, microservices architecture, and cloud platforms (AWS/GCP/Azure).
- Experience with MLOps tools such as MLflow, Kubeflow, or custom CI/CD pipelines.
- Excellent problem-solving skills and a track record of shipping complex technical solutions.
Skills: Python, PyTorch, TensorFlow, NLP, LLMs, MLOps, Cloud Architecture, System Design, Deep Learning.
Category: Information Technology