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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 Strategic Roadmap & AI Vision

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are seeking a visionary Lead Architect to define the technical trajectory for our upcoming 2026 initiatives. In this pivotal role, you will bridge the gap between emerging artificial intelligence trends and scalable infrastructure, ensuring Quantum Horizon Systems remains at the forefront of technological innovation.

As we prepare for the 2026 roadmap, you will lead a team of elite engineers in designing systems that are not only robust today but future-proof for the next decade. If you have a passion for strategic technology planning and a deep understanding of AI integration, we want to hear from you.

Why Join Us?
• Work on projects that define the future of industry.
• Competitive compensation and equity packages.
• Flexible remote and hybrid work policies.

Responsibilities

  • Define the 2026 Technical Vision: Create and articulate a comprehensive long-term technical strategy for the company's evolution.
  • Architect Scalable AI Solutions: Lead the design of high-performance systems integrating advanced AI and machine learning models.
  • Technical Roadmap Execution: Oversee the implementation of the 2026 product roadmap, ensuring milestones are met with precision.
  • Team Leadership & Mentorship: Cultivate a culture of innovation, mentoring senior engineers and fostering professional growth.
  • Stakeholder Management: Communicate complex technical strategies to executive leadership and cross-functional teams.
  • Security & Compliance: Ensure all architectural decisions adhere to the highest standards of data security and industry compliance.

Qualifications

  • Strategic Experience: 10+ years of experience in software architecture, with at least 3 years in a strategic leadership role.
  • AI & ML Expertise: Deep understanding of modern AI architectures, LLM integration, and cloud-based machine learning infrastructure.
  • Leadership Skills: Proven track record of leading high-performance engineering teams and driving technical culture.
  • Problem Solving: Exceptional ability to solve complex technical challenges and make high-impact decisions under pressure.
  • Communication: Excellent verbal and written communication skills for technical and non-technical audiences.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is preferred.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Strategic Planning Leadership Python Kubernetes AWS DevOps

Ready to Take This Challenge?

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