Home Job Details
N
Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: Future of Intelligent Systems (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future of AI is Here. Nexus Horizon Labs is pioneering the technology stack for 2026. We are seeking a visionary Senior AI Architect to lead the development of next-generation Agentic AI and autonomous intelligent systems.

In this role, you won't just be maintaining models; you will be architecting the brain of the future. You will define how autonomous agents interact, reason, and execute complex tasks in dynamic environments. If you are passionate about the intersection of Large Language Models (LLMs), multi-agent systems, and the future of human-computer interaction, we want to hear from you.

Why join us?

  • Work on the foundational technologies that will define the AI landscape of 2026 and beyond.
  • Competitive compensation package with equity for early contributors.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Design and implement scalable Agentic AI architectures capable of autonomous decision-making and tool usage.
  • Develop and fine-tune multi-modal Large Language Models (LLMs) for specific high-impact domains.
  • Build robust evaluation frameworks to measure agent performance, safety, and alignment.
  • Collaborate with product teams to integrate autonomous agents into seamless user experiences.
  • Research cutting-edge advancements in AI reasoning, memory, and planning mechanisms.
  • Optimize inference pipelines for latency and cost-efficiency in production environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (4+ years of industry experience may substitute).
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven experience building and deploying LLM-based applications or Agentic workflows.
  • Strong understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuning.
  • Experience with vector databases (Pinecone, Milvus, Weaviate) and vector search.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, research-driven environment.

Required Skills

Python PyTorch LLMs Agentic AI Generative AI NLP TensorFlow RAG Vector Databases Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All