Job Description
Are you ready to architect the intelligence layer of tomorrow? Quantum Leap Dynamics is seeking a visionary Senior Agentic AI Architect to lead our research into autonomous systems for the 2026 era.
We are not just building chatbots; we are building Autonomous Agents that can plan, execute, and learn in dynamic environments. You will be at the forefront of the next industrial revolution, deploying AI systems that redefine productivity and human-machine collaboration.
What you will do:
Join a high-performance team focused on pushing the boundaries of Generative Reasoning and Multi-Agent Orchestration. You will define the technical roadmap for our flagship products, ensuring our AI solutions are scalable, secure, and indistinguishable from human-level reasoning in complex scenarios.
Responsibilities
- Design and implement scalable Neural Architecture Search (NAS) pipelines to optimize LLM performance.
- Lead the development of Autonomous Agent Frameworks capable of complex, multi-step reasoning and tool use.
- Oversee the deployment of AI models on distributed cloud infrastructure, ensuring high availability and low latency.
- Collaborate with product and engineering teams to integrate AI agents into real-world operational workflows.
- Drive research initiatives in Explainable AI (XAI) to ensure transparency and trust in automated systems.
- Establish best practices for data governance, model security, and ethical AI usage.
Qualifications
- Master’s degree or PhD in Computer Science, AI, or a related technical field.
- 7+ years of experience in Machine Learning, with 3+ years specifically in LLM and NLP development.
- Deep expertise in Python, PyTorch, and modern MLOps tooling (MLflow, Kubeflow).
- Proven track record of deploying Large Language Models (LLMs) in production environments.
- Strong understanding of distributed systems, microservices, and cloud-native architecture.
- Experience with Reinforcement Learning and Multi-Agent Systems is highly preferred.