Job Description
We are seeking a visionary AI Architect (2026 Vision) to lead the charge in developing the next generation of autonomous systems. As the technology landscape shifts towards Agentic AI and self-evolving models, we need a technical leader who can bridge the gap between theoretical research and production-grade deployment.
At Nexus Horizon Labs, we don't just predict the future; we engineer it. You will be responsible for defining the architectural standards that will define the industry in 2026 and beyond. If you are passionate about pushing the boundaries of LLMs, reinforcement learning, and scalable infrastructure, this is your opportunity to build the future.
Responsibilities
- Design and implement scalable, fault-tolerant architectures for Agentic AI workflows and multi-agent systems.
- Lead the technical strategy for integrating Large Language Models (LLMs) into enterprise-grade applications with a focus on reasoning and autonomy.
- Optimize model inference performance, reducing latency and cost while maximizing accuracy.
- Mentor senior engineers and define best practices for AI model governance, security, and ethical usage.
- Collaborate with cross-functional teams (Product, Research, Security) to translate business goals into technical roadmaps.
- Conduct rigorous code reviews and architectural evaluations to ensure system integrity.
Qualifications
- 8+ years of experience in software engineering, with at least 3 years specializing in Artificial Intelligence and Machine Learning.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX, with a proven track record of deploying models to production.
- Strong understanding of System Design, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
- Experience with vector databases, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
- Familiarity with the 2026 technology roadmap, including LLM agents, multi-modal inputs, and edge AI deployment.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.