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Lead AI Architect (2026 Vision) - United States

Nexus 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are at the forefront of technological evolution, defining the roadmap for the next decade. Nexus 2026 Technologies is seeking a visionary Lead AI Architect to design and implement scalable, next-generation artificial intelligence systems. If you possess a deep understanding of neural networks, quantum computing integration, and ethical AI frameworks, we want you to help shape the future of human-machine interaction.

In this role, you will bridge the gap between theoretical research and production-grade applications, ensuring our platforms remain at the cutting edge of 2026 capabilities and beyond.

Responsibilities

  • Architect and design scalable AI infrastructure, ensuring high performance and low latency for global deployment.
  • Lead a cross-functional team of data scientists, ML engineers, and software developers to drive project execution.
  • Define technical roadmaps for AI capabilities, aligning them with the company's long-term strategic goals.
  • Implement rigorous testing protocols and governance frameworks to ensure AI model reliability and fairness.
  • Collaborate with product managers to translate complex technical requirements into innovative user solutions.
  • Stay ahead of industry trends, specifically focusing on advancements in Generative AI and Autonomous Systems.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and model deployment strategies.
  • Demonstrated experience in leading technical teams and mentoring junior engineers.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch MLOps Cloud Architecture System Design Leadership

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