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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect (AI & Automation)

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Future Tech Architect to define the technological landscape of 2026. In this pivotal role, you will lead the research and development of next-generation AI systems, autonomous agents, and scalable infrastructure that will power enterprise solutions for the decade ahead.

Role Overview:

You will bridge the gap between theoretical innovation and practical application. We are not just building software for today; we are architecting the foundation for tomorrow's digital economy. If you are passionate about Generative AI, quantum-ready systems, and ethical technology, this is your opportunity to lead.

Key Highlights:

  • Work on cutting-edge projects that define industry standards.
  • Competitive compensation package including equity.
  • Flexible hybrid work environment in the heart of San Francisco.

Responsibilities

  • Design and implement scalable architecture for autonomous AI agents and generative models.
  • Lead R&D initiatives focused on emerging technologies for the 2026 tech stack.
  • Collaborate with product managers to translate futuristic business requirements into technical roadmaps.
  • Establish best practices for security, scalability, and performance in cloud-native environments.
  • Mentor senior engineers and technical leads to foster a culture of innovation.
  • Conduct feasibility studies for quantum computing integration and Web3 protocols.

Qualifications

  • 10+ years of experience in software engineering, architecture, or product development.
  • Deep expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs).
  • Proven track record of leading high-performing engineering teams.
  • Strong proficiency in Python, Go, or Rust, with experience in distributed systems.
  • Experience with cloud providers (AWS, Azure, or GCP) and containerization (Kubernetes).
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning NLP System Architecture Cloud Computing Leadership Python Generative AI R&D DevOps Kubernetes

Ready to Take This Challenge?

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