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Future Tech Lead: 2026 AI & Automation Architect

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

Job Description

About Us: Apex Horizon Systems is pioneering the infrastructure for the 2026 digital revolution. We are seeking a visionary AI & Automation Architect to lead our R&D division. You will be at the forefront of defining the technological landscape for the next decade, integrating advanced AI models with human-centric design.

Role Overview:

In this high-impact role, you will bridge the gap between theoretical AI capabilities and practical, scalable enterprise solutions. As we look toward the 2026 horizon, your work will shape the core architecture of our next-generation products.

Responsibilities

  • Architect Future-Proof AI Systems: Design and implement scalable machine learning pipelines designed to meet the demands of the 2026 market.
  • Lead R&D Initiatives: Spearhead research projects focusing on Generative AI, Neural Interfaces, and Autonomous Systems.
  • Strategic Roadmapping: Define the technical vision for our 2026 product roadmap, ensuring alignment with business goals and emerging trends.
  • Cross-Functional Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ethical AI Compliance: Establish and enforce frameworks for ethical AI usage, ensuring transparency and bias mitigation in all automated systems.
  • Technical Evangelism: Present complex technical concepts to stakeholders and non-technical audiences to drive adoption of new technologies.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior leadership or architect role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS/Azure/GCP).
  • Future Tech Expertise: Proven track record of working with cutting-edge technologies such as LLMs, Computer Vision, or Edge Computing.
  • Leadership: Demonstrated ability to lead diverse, high-performing engineering teams in a fast-paced startup environment.
  • Problem Solving: Exceptional analytical skills with a focus on solving complex, ambiguous problems.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch Cloud Architecture Leadership R&D Generative AI

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