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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist & AI Architect (2026 Roadmap)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

The Opportunity
We are not just building for today; we are architecting the reality of tomorrow. Nexus Horizon Solutions is seeking a visionary Future Tech Strategist & AI Architect to lead our strategic roadmap leading up to 2026. You will be at the forefront of defining the technologies, frameworks, and methodologies that will power the next generation of enterprise intelligence.

In this pivotal role, you will bridge the gap between cutting-edge R&D and scalable production engineering, ensuring our ecosystem remains future-proof and competitive in a rapidly evolving digital landscape.

Responsibilities

  • Strategic Roadmapping: Define and execute a comprehensive technology roadmap for 2026, aligning AI capabilities with long-term business objectives.
  • System Architecture: Design scalable, secure, and high-performance AI architectures that integrate seamlessly with existing legacy systems.
  • R&D Leadership: Identify and evaluate emerging technologies (e.g., Generative AI, Quantum Computing concepts) and prototype viable solutions.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex technical requirements into actionable development plans.
  • Vendor & Tech Stack Management: Select and manage partnerships with leading technology providers to ensure optimal tooling and infrastructure.
  • Thought Leadership: Publish white papers, speak at industry conferences, and mentor junior architects on future trends.

Qualifications

  • Experience: 8+ years of experience in software engineering, machine learning engineering, or strategic product architecture, with at least 3 years in a leadership role.
  • Technical Mastery: Deep expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP) with a strong understanding of MLOps pipelines.
  • Strategic Vision: Proven track record of identifying disruptive technologies and integrating them into business strategies with measurable ROI.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Problem Solving: Exceptional ability to deconstruct complex problems and design elegant, scalable architectural solutions.
  • Communication: Superior verbal and written communication skills, capable of articulating technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Strategic Planning MLOps TensorFlow AWS Leadership

Ready to Take This Challenge?

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