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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Tech Stack

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

We are seeking a visionary Senior AI Architect to lead our 2026 Tech Stack initiative. As we prepare for the next generation of generative AI and autonomous systems, you will be responsible for designing scalable, secure, and efficient infrastructure that meets the demands of a rapidly evolving technological landscape.

In this role, you will bridge the gap between theoretical AI research and production-grade deployment, ensuring our platforms are future-proofed for the year 2026 and beyond. If you are passionate about building the backbone of tomorrow's digital world, we want to hear from you.

Responsibilities

  • Design and architect advanced AI systems focused on Agentic Workflows and Generative AI readiness for 2026.
  • Lead the migration of legacy infrastructure to modern, serverless cloud architectures using AWS and Azure.
  • Implement and optimize Large Language Models (LLMs) for enterprise applications, ensuring low-latency inference.
  • Establish data governance frameworks and ethical AI guidelines to mitigate bias and ensure compliance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct code reviews and technical architecture reviews to maintain high standards of quality and security.
  • Collaborate with cross-functional teams to define product requirements and technical roadmaps.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, 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, or TensorFlow.
  • Strong understanding of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Experience with cloud platforms (AWS, GCP, or Azure) and serverless computing.
  • Familiarity with Quantum Computing concepts or quantum-resistant cryptography is a major plus.
  • Proven track record of delivering complex technical projects on time and within budget.

Required Skills

Python TensorFlow PyTorch MLOps AWS Kubernetes Docker Generative AI LLMs Cloud Architecture Machine Learning

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