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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect (2026 Roadmap)

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

Job Description

Shape the Future of Intelligence

Nexus Future Systems is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI & Future Tech Architect to lead our strategic roadmap towards 2026. You will be at the forefront of designing scalable, ethical, and high-performance AI systems that redefine human-machine interaction.

In this role, you will bridge the gap between theoretical research and practical implementation, ensuring our technology stack remains ahead of the curve in a rapidly evolving landscape.

Responsibilities

  • Strategic Roadmap: Define and execute the technical vision for our AI initiatives through 2026 and beyond, aligning with business goals.
  • System Architecture: Design robust, scalable, and secure architectural frameworks for large-scale machine learning models and data pipelines.
  • Team Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Technology Evaluation: Research and evaluate emerging technologies (e.g., generative AI, neuromorphic computing) to determine feasibility and competitive advantage.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development strategies.
  • Compliance & Ethics: Ensure all AI implementations adhere to strict ethical guidelines, data privacy regulations, and industry standards.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
  • Experience: 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership roles.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Leadership: Proven track record of leading engineering teams and managing complex technical projects from conception to deployment.
  • Problem Solving: Exceptional ability to solve complex, open-ended technical problems with creative solutions.
  • Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing AWS Leadership AI Strategy TensorFlow PyTorch Data Engineering

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