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Information Technology 🏢 Full Time ⭐️ Verified

2026 Visionary AI Solutions Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a 2026 Visionary AI Solutions Architect to lead the next generation of intelligent systems. In a rapidly evolving tech landscape, your expertise in Generative AI, Large Language Models (LLMs), and scalable infrastructure will define our roadmap. You will bridge the gap between theoretical AI capabilities and real-world enterprise applications, ensuring our solutions are not just current, but future-proof for the 2026 era and beyond.

Why Join Us?

  • Work on cutting-edge technology that defines the future of enterprise AI.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first culture with premium office amenities.

Responsibilities

  • Design and architect scalable, high-performance AI systems and machine learning pipelines for the 2026 era.
  • Lead the integration of Large Language Models (LLMs) and generative AI into existing product ecosystems.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical AI solutions.
  • Optimize model inference latency and reduce cloud costs through architectural improvements.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Stay ahead of emerging AI trends and technologies to guide our strategic technology roadmap.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 5+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes/Docker).
  • Proven track record of deploying and maintaining large-scale machine learning models in production environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP Cloud Computing AWS GCP Kubernetes Docker MLOps Generative AI LLM System Design

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