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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Architecting the Future of Intelligence

We are seeking a visionary Senior AI & Future Tech Architect to lead our strategic roadmap for 2026 and beyond. At Nexus Horizon Solutions, we are not just building software; we are engineering the fabric of tomorrow's digital reality. You will be at the forefront of deploying advanced generative AI, autonomous agents, and next-generation cloud infrastructure. If you are passionate about defining the trajectory of technology and leading high-performing teams in a fast-paced environment, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 tech landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art offices in SF.

Responsibilities

  • Define and execute the long-term technical vision for AI infrastructure and future tech integration, ensuring alignment with the 2026 roadmap.
  • Lead the architecture and implementation of scalable machine learning models and generative AI systems.
  • Mentor senior engineers and technical leads, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
  • Evaluate and integrate emerging technologies (e.g., quantum computing interfaces, edge AI) into existing ecosystems.
  • Ensure system reliability, security, and performance at scale.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior technical leadership or architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps practices.
  • Proven track record of delivering large-scale AI solutions from concept to production.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Kubernetes Docker MLOps Leadership Generative AI

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