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Senior AI Architect (2026 Focus)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Frontier of Autonomous Intelligence

Nexus Future Systems is at the vanguard of the 2026 AI revolution. We are not just building chatbots; we are engineering autonomous agents capable of complex reasoning, tool usage, and self-correction. If you want to define the architecture of the next generation of artificial intelligence, this is your opportunity.

We are seeking a visionary Senior AI Architect to lead our Agentic AI division. You will bridge the gap between cutting-edge LLM research and production-grade software engineering, ensuring our systems are safe, scalable, and intelligent.

Responsibilities

  • Architect and deploy scalable autonomous AI agents capable of multi-step reasoning and tool execution.
  • Design robust Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize inference latency and cost-efficiency for large language models in high-traffic environments.
  • Implement rigorous evaluation frameworks and guardrails to ensure AI safety and compliance.
  • Collaborate with cross-functional teams to integrate AI agents into existing enterprise workflows.
  • Stay ahead of the curve on the latest advancements in 2026 AI trends, including Multimodal models and Chain-of-Thought prompting.
  • Lead technical mentorship for junior engineers and data scientists.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, NLP, or AI software engineering.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of implementing and fine-tuning Large Language Models (LLMs).
  • Strong understanding of vector databases, embeddings, and semantic search technologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and a passion for building products that matter.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Data Science RAG Vector Databases Docker Kubernetes AWS GCP Agentic AI

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