Job Description
We are on the frontier of the next technological revolution. As a Lead AI Architect at Apex Neural Systems, you won't just build software; you will architect the cognitive frameworks that define the year 2026 and beyond.
In this high-impact role, you will lead the development of next-generation Autonomous Agents and Generative AI ecosystems. You will bridge the gap between theoretical AI research and scalable, production-ready solutions that solve complex global challenges. We are looking for a visionary who is passionate about the ethical implications of AI and its potential to transform industries.
Why join us? We offer a competitive package, equity packages, and the freedom to experiment with cutting-edge technologies.
Responsibilities
- Design and implement scalable AI architectures for autonomous decision-making systems.
- Lead the research and integration of Agentic AI workflows and multi-agent systems.
- Optimize model inference for real-time processing in edge environments.
- Define technical roadmaps and architectural standards for the 2026 product cycle.
- Collaborate with cross-functional teams to translate complex AI concepts into user-centric features.
- Ensure system reliability, security, and scalability of all AI deployments.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in building production-level AI systems (NLP, Computer Vision, or Reinforcement Learning).
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying Large Language Models (LLMs) at scale.
- Experience with ethical AI frameworks, bias mitigation, and responsible AI governance.
- Strong understanding of cloud infrastructure (AWS/Azure/GCP) for ML workloads.