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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Lead: 2026 Roadmap Architect

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

Job Description

As we approach the pivotal year of 2026, Nexus Horizon is redefining the boundaries of artificial intelligence and enterprise scalability. We are seeking a visionary Future Tech Lead who doesn't just use technology but architects the future of it.

In this high-impact role, you will be responsible for defining our technological roadmap, ensuring we are at the forefront of Generative AI, Quantum Readiness, and next-gen edge computing. You will bridge the gap between abstract future concepts and executable business strategies, leading a team of elite engineers and strategists.

Why join us? We offer a competitive package, equity, and the unique opportunity to shape the tech landscape of the next decade.

Responsibilities

  • Define and execute the 2026 Technology Roadmap, aligning long-term innovation goals with business objectives.
  • Lead the architectural vision for integrating emerging AI models into enterprise workflows.
  • Conduct deep-dive research into frontier technologies (e.g., AGI readiness, Quantum computing interfaces) and assess their viability for Nexus Horizon.
  • Collaborate with C-suite executives to translate technical capabilities into market advantages.
  • Oversee the R&D division, fostering a culture of experimentation and rapid prototyping.
  • Mentor senior engineering staff and drive technical decision-making across cross-functional teams.

Qualifications

  • 10+ years of experience in Technology Strategy, AI/ML Engineering, or Enterprise Architecture.
  • Proven track record of leading high-level technology transformations.
  • Deep understanding of Large Language Models, neural networks, and predictive analytics.
  • Strong background in strategic planning and roadmap development.
  • Exceptional leadership and communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or Business Administration (MBA) preferred.

Required Skills

AI Strategy Machine Learning Enterprise Architecture R&D Quantum Computing Agile Leadership Generative AI

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