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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap Specialist)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape of 2026. As part of our elite R&D division, you will lead the development of autonomous agentic systems and next-generation generative AI frameworks.

In this role, you will bridge the gap between theoretical AI potential and practical application, ensuring our platforms remain at the cutting edge of the industry. If you are passionate about building the future of intelligent automation and possess a deep understanding of large language models (LLMs), we want to hear from you.

Why Join Nexus Future Systems?

  • Work on Autonomous Agent technologies that will redefine human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium office in San Francisco.
  • Access to state-of-the-art computing clusters and proprietary datasets.

Responsibilities

  • Architect and implement scalable Agentic AI systems designed for the 2026 era.
  • Design robust pipelines for Large Language Models (LLMs) and multimodal AI agents.
  • Optimize inference latency and model accuracy for real-time applications.
  • Collaborate with cross-functional teams to integrate AI capabilities into enterprise products.
  • Conduct research on emerging AI paradigms to future-proof our technology stack.
  • Establish best practices for prompt engineering, fine-tuning, and reinforcement learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
  • 5+ years of experience in machine learning engineering or AI architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying LLM-based applications (e.g., RAG, LangChain, AutoGPT).
  • Strong understanding of vector databases and semantic search.
  • Experience with cloud infrastructure (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow LLMs Large Language Models Agentic AI LangChain RAG Vector Databases AWS Machine Learning Engineering

Ready to Take This Challenge?

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