Job Description
Are you ready to shape the future of autonomous intelligence? Nexus Horizon is seeking a visionary Lead Agentic AI Architect to pioneer the technologies that will define the landscape in 2026 and beyond.
In this pivotal role, you will be at the forefront of the next evolution of AI, moving beyond static models to create systems that can reason, plan, and execute complex tasks autonomously. You will build the infrastructure that empowers our products to navigate the dynamic, multi-step challenges of the real world.
We are looking for a technical leader who is not just building models, but architecting the next generation of AI 2.0 ecosystems. If you are passionate about the intersection of Generative AI and complex logic, we want to hear from you.
Responsibilities
- Architect and implement the core logic for autonomous agents capable of multi-step reasoning and execution.
- Integrate Large Language Models (LLMs) with external tools and APIs to create robust, self-improving systems.
- Design sophisticated prompt engineering strategies and context management systems for high-stakes environments.
- Optimize agent performance, latency, and cost-efficiency through advanced algorithmic strategies.
- Lead the technical vision for the AI 2.0 roadmap, ensuring scalability and reliability.
- Mentor a team of machine learning engineers and data scientists to foster a culture of innovation.
- Collaborate with product and engineering teams to translate business requirements into advanced AI capabilities.
Qualifications
- 7+ years of experience in software engineering, with 3+ years specifically in AI/ML or Agentic workflows.
- Deep expertise in Python, PyTorch, or TensorFlow, with a strong command of modern LLM frameworks (LangChain, LlamaIndex).
- Proven experience in designing prompt templates, retrieval-augmented generation (RAG) systems, and fine-tuning models.
- Experience with vector databases (Pinecone, Milvus) and cloud infrastructure (AWS, GCP, Azure).
- Excellent problem-solving skills with the ability to translate abstract AI concepts into concrete technical solutions.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.