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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech & AI Strategy Architect

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on the precipice of a technological renaissance, and Nexus Horizon Systems is looking for a visionary Future Tech & AI Strategy Architect to define our roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge research and scalable enterprise implementation, ensuring our infrastructure is resilient, intelligent, and future-proof. If you are passionate about shaping the digital landscape of tomorrow, this is your opportunity to lead the charge.


Why Join Us?

  • Work at the intersection of Artificial Intelligence and System Architecture.
  • Competitive salary, equity package, and comprehensive benefits.
  • Flexible remote-first culture with premium office amenities in downtown SF.
  • Access to the latest tech stacks and R&D budget.

Responsibilities

  • Design and implement a scalable, next-generation technology architecture aligned with 2026 strategic goals.
  • Lead the integration of AI-driven solutions to optimize operational efficiency and decision-making processes.
  • Conduct feasibility studies and R&D on emerging technologies (e.g., Quantum Readiness, Edge Computing) to prepare our infrastructure.
  • Collaborate with cross-functional teams (Product, Engineering, Security) to ensure technical vision alignment.
  • Mentor senior engineers and architects, fostering a culture of continuous learning and innovation.
  • Define and enforce enterprise-wide technical standards and best practices.

Qualifications

  • 10+ years of experience in software architecture, system design, or engineering leadership.
  • Proven track record of deploying complex, scalable systems in cloud environments (AWS, GCP, or Azure).
  • Deep expertise in Machine Learning pipelines, Large Language Models (LLMs), and Generative AI technologies.
  • Strong understanding of cybersecurity principles and data privacy regulations (GDPR, CCPA).
  • Excellent communication skills, capable of translating technical concepts for diverse stakeholders.
  • Master’s degree in Computer Science, Data Science, or a related field is preferred.

Required Skills

System Architecture Machine Learning AI Strategy Cloud Computing Python Kubernetes Docker Leadership R&D

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