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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

Shape the Future with Nexus Future Tech

Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Tech is seeking a visionary Senior AI Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you won't just maintain systems; you will architect the foundation for the next era of intelligent automation.

We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to build scalable, resilient, and groundbreaking AI solutions. Join us in building the digital twin of reality and set the standard for industry excellence.

Why Join Us?

  • Work on cutting-edge projects that redefine human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium office in downtown SF.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design and implement scalable AI architectures for the 2026 roadmap, focusing on generative models and predictive analytics.
  • Lead the technical strategy for integrating autonomous agents into enterprise workflows.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Optimize system latency and ensure data privacy and security compliance at scale.
  • Stay ahead of industry trends and evaluate emerging technologies to drive competitive advantage.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and large language models (LLMs).
  • Proven track record of leading complex engineering projects from conception to deployment.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.

Required Skills

AI Machine Learning Python TensorFlow PyTorch System Architecture Cloud Computing Kubernetes Generative AI Data Science

Ready to Take This Challenge?

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