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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior Agentic AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of Tomorrow. Nexus Future Systems is pioneering the next generation of autonomous AI agents for the year 2026 and beyond. We are seeking a visionary Senior Agentic AI Architect to design scalable, intelligent systems that redefine human-machine interaction. If you are passionate about building the future of technology and thrive on solving complex architectural challenges, this is your opportunity to lead.

As a key member of our R&D division, you will bridge the gap between theoretical AI research and production-grade infrastructure, ensuring our solutions are robust, secure, and future-proof.

Responsibilities

  • Architect & Design: Design and implement high-level system architecture for autonomous AI agents, focusing on scalability, fault tolerance, and 2026-era performance standards.
  • Model Integration: Lead the integration of cutting-edge Large Language Models (LLMs) and multimodal systems into our core product suite.
  • Optimization: Oversee the optimization of inference pipelines and training loops to maximize throughput and minimize latency.
  • Strategy: Define the technical roadmap for Agentic AI capabilities, anticipating industry shifts towards self-directed systems.
  • Collaboration: Work closely with product managers, data scientists, and security experts to translate business requirements into technical solutions.
  • Mentorship: Mentor junior engineers and foster a culture of innovation and continuous learning within the engineering team.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Technical Stack: Proficiency in Python, C++, or Rust. Deep experience with PyTorch, TensorFlow, or JAX.
  • Infrastructure: Strong background in cloud platforms (AWS/GCP/Azure) and containerization technologies (Kubernetes, Docker).
  • AI Mastery: Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
  • Strategic Mindset: Demonstrated ability to think long-term and architect systems that remain viable and relevant in 2026.
  • Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

Python C++ Rust PyTorch TensorFlow Kubernetes Docker AWS GCP LLMs RAG Vector Databases System Architecture

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