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Information Technology 🏢 Full Time ⭐️ Verified

AI Architect - 2026 Strategy

Nexus Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary AI Architect to lead the technical strategy for our next-gen projects, specifically focusing on the roadmap for 2026 and beyond. At Nexus Future Systems, we are building the infrastructure for tomorrow. You will be responsible for designing scalable, secure, and efficient artificial intelligence systems that redefine industry standards.

In this role, you will bridge the gap between complex machine learning models and production-grade infrastructure. You will collaborate with cross-functional teams to define technical visions, mentor junior engineers, and ensure our solutions are future-proof.

Responsibilities

  • Architect and design end-to-end AI solutions for the 2026 strategic roadmap, ensuring scalability and high performance.
  • Lead the technical strategy for integrating Generative AI and Large Language Models into core products.
  • Collaborate with product managers and data scientists to translate business requirements into technical specifications.
  • Oversee the deployment of machine learning models on cloud infrastructure (AWS/GCP) with a focus on cost optimization and security.
  • Mentor a team of engineers, fostering a culture of innovation and continuous improvement.
  • Conduct code reviews, performance tuning, and architectural reviews to maintain code quality.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern Machine Learning frameworks.
  • Strong understanding of cloud computing principles (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading technical teams and managing complex projects from conception to deployment.
  • Experience with MLOps, data pipelines, and real-time data processing.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow AWS Cloud Architecture MLOps Kubernetes System Design Leadership

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