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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the autonomous systems that will power the world in 2026 and beyond. Nexus Future Systems is seeking a visionary Senior Agentic AI Architect to lead the design and implementation of next-generation autonomous agents. You won't just be writing code; you will be defining the architectural patterns that will dominate the AI landscape.

In this pivotal role, you will bridge the gap between cutting-edge Large Language Models (LLMs) and robust, scalable backend infrastructure. You will be responsible for the end-to-end lifecycle of our autonomous agents, ensuring they are safe, efficient, and capable of complex decision-making.

If you are passionate about the future of Artificial Intelligence and want to be at the forefront of the 2026 tech revolution, we want to hear from you.

Responsibilities

  • Architect & Design: Design and implement scalable architectures for autonomous AI agents, focusing on long-term viability and the 2026 roadmap.
  • System Optimization: Optimize LLM inference pipelines and memory management to ensure high-speed decision-making capabilities.
  • Agent Orchestration: Build complex workflows and orchestration layers (e.g., using LangChain, AutoGen) to enable multi-agent collaboration.
  • R&D Leadership: Research and prototype emerging AI paradigms, specifically focusing on reasoning, planning, and self-correction in agents.
  • Security & Safety: Implement guardrails, ethical constraints, and safety protocols to ensure AI outputs align with company values and regulatory standards.
  • Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications.

Qualifications

  • Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on Machine Learning, NLP, or AI Agents.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of LLMs (GPT-4, Llama 3, Claude).
  • Frameworks: Strong experience with agent orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel).
  • System Design: Demonstrated ability to design high-concurrency, distributed systems.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Mindset: A forward-thinking mindset with a strong interest in the trends and technologies predicted for 2026.

Required Skills

Python PyTorch LLMs LangChain System Design Autonomous Agents NLP Distributed Systems

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