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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead (2026 Strategy)

Horizon Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological roadmap for the year 2026? Horizon Systems Inc. is seeking a visionary Future Tech Lead to architect the next generation of scalable, intelligent software solutions.

In this pivotal role, you will bridge the gap between emerging AI capabilities and enterprise infrastructure, ensuring our platforms are not just current, but future-proof. You will work closely with product teams to implement cutting-edge technologies that will define the digital landscape five years from now.

Why join us? We are building the infrastructure for tomorrow. You will have the autonomy to experiment, the resources to innovate, and the impact to transform industries.

Responsibilities

  • Architect and oversee the deployment of scalable, AI-driven systems designed specifically for the 2026 market landscape.
  • Lead the integration of Generative AI and Large Language Models (LLMs) into core product workflows.
  • Define technical strategies for cloud migration and edge computing to enhance global latency.
  • Ensure robust data privacy and security protocols align with future regulatory standards.
  • Mentor a high-performance engineering team focused on innovation and code excellence.
  • Conduct feasibility studies for emerging technologies like Quantum Computing.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architectural capacity.
  • Deep expertise in Python, TensorFlow, or PyTorch, with a proven track record of deploying machine learning models.
  • Strong proficiency in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with blockchain technology or Web3 architecture is highly preferred.
  • Excellent verbal and written communication skills, capable of translating complex technical concepts for stakeholders.
  • Master's degree in Computer Science, Engineering, or a related field.

Required Skills

Python TensorFlow AWS Kubernetes Cloud Architecture Machine Learning Generative AI Leadership System Design

Ready to Take This Challenge?

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