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Senior AI & Future Tech Architect - Shaping the Roadmap for 2026

Nexus Future Labs
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are Nexus Future Labs, a premier think-tank and development agency dedicated to defining the technological landscape leading into 2026. We are seeking a visionary Senior AI & Future Tech Architect to lead our strategic R&D division. In this role, you will not just build today’s technology; you will architect the solutions that will define the future.

You will be responsible for identifying emerging trends—such as Generative AI, Spatial Computing, and Quantum-ready infrastructures—and integrating them into scalable, real-world products. If you are a forward-thinker who enjoys solving complex problems with a long-term horizon, we want to meet you.

Responsibilities

  • Define the 2026 Vision: Lead the creation of the company's 3-5 year technological roadmap, identifying disruptive technologies that will dominate the market by 2026.
  • Architect Future Systems: Design and prototype next-generation AI architectures that prioritize scalability, energy efficiency, and ethical AI principles.
  • Lead High-Impact R&D: Spearhead experimental projects in Large Language Models (LLMs) and autonomous agent systems.
  • Bridge the Gap: Translate complex future-tech concepts into actionable product requirements for engineering teams.
  • Thought Leadership: Publish white papers and speak at industry conferences regarding the trajectory of technology in the coming years.

Qualifications

  • Strategic Foresight: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems.
  • Future-Ready Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architecture (AWS/GCP/Azure).
  • Visionary Mindset: Demonstrated ability to anticipate industry shifts and propose innovative solutions before they become mainstream.
  • Leadership: Proven track record of managing cross-functional teams and mentoring junior architects.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning System Architecture Strategic Planning Python Cloud Computing LLMs R&D Leadership

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