Job Description
We are seeking a visionary Lead Agentic AI Architect to define the technological roadmap for 2026. In this pivotal role, you will spearhead the development of next-generation autonomous systems that bridge the gap between generative AI and actionable intelligence. You will work with a world-class team to build scalable, secure, and intelligent agents capable of operating in complex, real-world environments.
As we look toward the future, your work will set the standard for AI interaction, ensuring our platforms remain at the forefront of the industry.
Responsibilities
- Design and implement the architectural framework for autonomous AI agents and intelligent workflows.
- Lead the research and integration of emerging LLM technologies to enhance agent reasoning capabilities.
- Optimize model performance, latency, and cost-efficiency for high-volume production environments.
- Establish best practices for AI safety, ethics, and governance in autonomous systems.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Mentor junior engineers and data scientists on advanced AI concepts.
Qualifications
- 5+ years of experience in machine learning, artificial intelligence, or deep learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of designing and deploying scalable AI models or applications.
- Deep understanding of Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and Agent frameworks.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.