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Information Technology 🏒 Full Time ⭐️ Verified

Lead Architect: 2026 AI Roadmap & Future Tech | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Architecting the Future of Intelligence

We are seeking a visionary Lead Architect to define the technical trajectory for 2026. In this pivotal role, you will bridge the gap between theoretical AI capabilities and scalable enterprise solutions, guiding our engineering teams toward a future where artificial intelligence seamlessly integrates into every aspect of the digital ecosystem.

As a pioneer in the 2026 tech landscape, you will be responsible for steering our R&D initiatives, ensuring we remain at the forefront of generative AI, neuromorphic computing, and next-gen neural interfaces.

Responsibilities

  • Define and execute the comprehensive 2026 technical roadmap, focusing on next-gen generative AI and quantum-ready architectures.
  • Lead the architecture of scalable, high-performance AI systems designed to handle petabyte-scale data streams.
  • Collaborate with cross-functional teams (Product, Engineering, and Research) to translate strategic vision into actionable technical specifications.
  • Stay ahead of industry trends, evaluating emerging technologies such as Neuromorphic computing and Edge AI for potential integration.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Oversee the security and ethical implications of AI deployment, ensuring compliance with global standards.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years dedicated to Artificial Intelligence and Machine Learning systems.
  • Proven track record of leading large-scale technical initiatives and defining long-term product roadmaps.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, GCP, or Azure).
  • Strong understanding of Generative AI models, LLMs, and their application in enterprise contexts.
  • Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • Exceptional leadership skills with the ability to inspire and direct diverse engineering teams.

Required Skills

Artificial Intelligence Machine Learning Software Architecture Python TensorFlow Generative AI Cloud Computing Leadership

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