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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Automation Architect

Horizon 2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Horizon 2026 Systems is seeking a visionary Future Tech Lead to spearhead the development of next-generation AI architectures. In this pivotal role, you will define the roadmap for autonomous systems that will define the technological landscape of 2026 and beyond.

We are not just building software; we are engineering the foundation for a hyper-connected, automated future. You will collaborate with top-tier engineers to deploy cutting-edge neural networks and predictive models that solve complex global challenges. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence, we want to meet you.

Why Join Us?

  • Work on mission-critical projects with global impact.
  • Access to the latest hardware and cloud infrastructure.
  • Competitive compensation and equity packages.
  • A culture that rewards innovation and risk-taking.

Responsibilities

  • Design and architect scalable, high-performance AI systems capable of handling 2026-scale data volumes.
  • Lead the R&D team in developing Generative AI models and predictive analytics engines.
  • Define technical roadmaps and ensure alignment with long-term business objectives.
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
  • Mentor junior developers and engineers, fostering a culture of continuous learning.
  • Ensure ethical AI practices and compliance with emerging data regulations.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Proven track record of leading high-performance engineering teams.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of neural networks, natural language processing, and computer vision.
  • Excellent communication skills and the ability to translate complex technical concepts for stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Deep Learning Cloud Architecture System Design

Ready to Take This Challenge?

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