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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Strategy Architect | 2026 Roadmap Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Opportunity

We are seeking a visionary Future-Ready AI Strategy Architect to lead our 2026 roadmap and define the next generation of intelligent systems. In a rapidly evolving technological landscape, you will be the bridge between immediate engineering execution and long-term strategic foresight.

Why Join Us?

Nexus Future Labs is at the forefront of innovation. We don't just predict the future; we architect it. As a key member of our leadership team, you will have the autonomy to shape our technical direction for the next decade.

Key Responsibilities

  • Define and drive the technical roadmap for 2026 and beyond, ensuring scalability and future-proofing.
  • Architect and oversee the deployment of next-gen Generative AI and Machine Learning infrastructure.
  • Collaborate with C-suite executives to translate business objectives into technical strategies.
  • Identify emerging technologies and evaluate their potential impact on our product ecosystem.
  • Mentor senior engineering teams and foster a culture of innovation and continuous learning.
  • Lead high-stakes technical evaluations and vendor assessments for critical 2026 initiatives.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML leadership.
  • Proven track record of defining and executing long-term technical roadmaps (3+ years out).
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS/Azure).
  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong background in data strategy, large-scale system design, and MLOps.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Skills

AI Architecture, Machine Learning Strategy, Python, Cloud Computing, System Design, Strategic Planning, Leadership, TensorFlow, AWS, MLOps, Generative AI.

Responsibilities

  • Define and drive the technical roadmap for 2026 and beyond, ensuring scalability and future-proofing.
  • Architect and oversee the deployment of next-gen Generative AI and Machine Learning infrastructure.
  • Collaborate with C-suite executives to translate business objectives into technical strategies.
  • Identify emerging technologies and evaluate their potential impact on our product ecosystem.
  • Mentor senior engineering teams and foster a culture of innovation and continuous learning.
  • Lead high-stakes technical evaluations and vendor assessments for critical 2026 initiatives.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML leadership.
  • Proven track record of defining and executing long-term technical roadmaps (3+ years out).
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS/Azure).
  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong background in data strategy, large-scale system design, and MLOps.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

AI Architecture Machine Learning Strategy Python Cloud Computing System Design Strategic Planning Leadership TensorFlow AWS MLOps Generative AI

Ready to Take This Challenge?

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