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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to shape the technological landscape of the future? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our 2026 innovation roadmap. In this pivotal role, you will bridge the gap between theoretical AI potential and scalable enterprise solutions, defining the architecture that will drive our next generation of products.

We are not just building software; we are architecting the future. If you are passionate about cutting-edge technology, ethical AI, and have a track record of delivering high-performance systems, we want to hear from you.

Responsibilities

  • Lead the 2026 AI Roadmap: Define and execute the technical vision for AI integrations, ensuring alignment with long-term business goals.
  • System Architecture: Design scalable, fault-tolerant, and high-performance distributed systems using modern cloud-native architectures.
  • Team Leadership: Mentor a team of talented engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Model Optimization: Oversee the deployment and optimization of machine learning models, ensuring low latency and high throughput.
  • Technical Strategy: Evaluate emerging technologies (e.g., Generative AI, Quantum-ready infrastructures) and integrate them into our stack.
  • Stakeholder Collaboration: Work closely with product managers and C-suite executives to translate complex technical requirements into actionable development plans.

Qualifications

  • Experience: 8+ years of experience in software engineering with a focus on AI/ML architecture.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Technical Stack: Proficiency in Python, Go, or Java; deep understanding of TensorFlow, PyTorch, or similar frameworks.
  • Cloud Expertise: Strong experience with AWS, Azure, or GCP, including serverless and containerization (Docker/Kubernetes).
  • Leadership: Proven track record of leading technical teams and managing large-scale projects.
  • Future-Proofing: Demonstrated ability to anticipate industry trends and adapt architectures for the future.

Required Skills

Python Machine Learning System Design Cloud Architecture Kubernetes AWS TensorFlow Leadership Agile

Ready to Take This Challenge?

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