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Information Technology 🏢 Full Time ⭐️ Verified

Horizon 2026 AI Architect

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

Job Description

We are seeking a visionary Horizon 2026 AI Architect to lead the architectural evolution of our next-generation predictive platforms. As we prepare for the technological landscape of 2026, you will define the strategic roadmap, ensuring our infrastructure is scalable, secure, and ahead of industry trends.

In this high-impact role, you will bridge the gap between theoretical future-proofing and practical implementation. You will work with cutting-edge machine learning frameworks to build systems that not only solve today's problems but are adaptable for the digital era of 2026 and beyond.

Responsibilities

  • Design and implement scalable AI frameworks and cloud architectures aligned with the 2026 strategic vision.
  • Lead cross-functional teams in developing predictive models for future market trends and consumer behavior.
  • Conduct technical feasibility studies to identify opportunities for automation and efficiency improvements.
  • Collaborate with product leaders to translate long-term strategic goals into technical roadmaps.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure data privacy and compliance standards are met while pushing the boundaries of AI capabilities.
  • Present complex technical concepts to non-technical stakeholders with clarity and impact.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning libraries.
  • Proven track record of designing systems that scale to high transaction volumes.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and microservices architecture.
  • Exceptional strategic thinking skills with the ability to anticipate future technological shifts.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.
  • Excellent communication skills, capable of bridging the gap between technical teams and executive leadership.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture Strategic Planning Data Science AWS Microservices TensorFlow

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