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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect | 2026 Vision | San Francisco, CA

NextGen Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Future Tech Architect to lead our groundbreaking initiatives as we prepare for the technological landscape of 2026. In this role, you will be at the forefront of integrating advanced Artificial Intelligence, Quantum Computing concepts, and next-generation Robotics into our core product ecosystem.

At NextGen Systems, we don't just follow trends; we define them. We are looking for a thought leader who can bridge the gap between theoretical innovation and practical engineering excellence.

Responsibilities

  • Strategic Roadmapping: Define and execute the long-term technical roadmap for 2026 and beyond, aligning technology with business goals.
  • System Architecture: Lead the design and implementation of scalable, high-performance AI-driven systems and autonomous agents.
  • Innovation Leadership: Conduct deep research into emerging technologies, including Neural Interfaces and Generative Models, and evaluate their feasibility for our platform.
  • Cross-Functional Collaboration: Partner with product managers, designers, and engineering teams to translate futuristic concepts into deployable, robust code.
  • Team Mentorship: Mentor senior engineers and foster a culture of innovation, continuous learning, and technical excellence within the engineering department.
  • Vendor & Tech Stack Management: Evaluate and select cutting-edge tools and third-party technologies to enhance our competitive edge.

Qualifications

  • Education: Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related technical field.
  • Experience: Minimum of 8 years of experience in software architecture, system design, and engineering leadership.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, GCP, Azure).
  • AI Specialization: Strong understanding of Machine Learning algorithms, Natural Language Processing (NLP), and Deep Learning architectures.
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems and drive technical decisions in a fast-paced agile environment.
  • Communication: Excellent verbal and written communication skills with the ability to present complex technical ideas to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AWS GCP System Design AI Strategy Leadership Robotics Agile TensorFlow PyTorch

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