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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Generative Systems

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon Solutions is seeking a visionary Future Tech Lead to define our strategic roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical innovation and practical application, leading a team of elite engineers and data scientists.

We are not just looking for a manager; we are looking for a pioneer. You will be responsible for identifying emerging technologies—specifically in Generative AI and Autonomous Systems—that will redefine our industry landscape. If you thrive on complexity and want to build the systems that power the next decade, we want to hear from you.

Responsibilities

  • Define the Vision: Develop and articulate a comprehensive technology roadmap focused on the 2026 horizon, identifying key trends in AI, Machine Learning, and Quantum Computing.
  • Drive Innovation: Spearhead R&D initiatives to prototype and validate cutting-edge solutions before full-scale deployment.
  • Lead Technical Strategy: Collaborate with C-suite executives to align technical capabilities with business objectives and long-term growth targets.
  • Team Leadership: Mentor and manage high-performance engineering teams, fostering a culture of continuous learning and technical excellence.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders, ensuring buy-in across all departments.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architectural role.
  • Technical Expertise: Deep understanding of AI/ML frameworks, cloud infrastructure (AWS/Azure/GCP), and distributed systems.
  • Future-Forward Mindset: Proven track record of identifying and implementing disruptive technologies ahead of the curve.
  • Education: Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree preferred.
  • Communication: Exceptional verbal and written communication skills, capable of influencing diverse audiences.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Leadership Strategy Python TensorFlow

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