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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Solutions Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of technology? Nexus Future Labs is seeking a visionary Senior AI Solutions Architect to lead our next-generation technology initiatives. We are building the systems that will define the landscape of 2026 and beyond, and we need a technical leader who thrives on complexity and innovation.

In this pivotal role, you will bridge the gap between cutting-edge AI research and practical, scalable enterprise solutions. You will be responsible for designing robust, distributed AI systems, optimizing deep learning pipelines, and guiding a team of elite engineers toward breakthroughs in generative AI and autonomous agents.

If you are passionate about solving unsolvable problems and shaping the digital infrastructure of tomorrow, apply today.

Responsibilities

  • Design and implement scalable AI architectures for high-volume production environments.
  • Lead the integration of Large Language Models (LLMs) and computer vision systems into core products.
  • Conduct architectural assessments and code reviews to ensure system reliability, security, and performance.
  • Collaborate with cross-functional teams (Product, Data Science, and Engineering) to translate business requirements into technical blueprints.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • Drive the adoption of MLOps best practices to streamline the AI development lifecycle.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and distributed computing concepts.
  • Proven track record of leading large-scale projects from conception to successful deployment.
  • Experience with real-time data processing and high-availability system design.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS MLOps System Architecture Machine Learning Deep Learning Kubernetes Docker Cloud Computing Generative AI

Ready to Take This Challenge?

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