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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Ready)

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

Job Description

The Future of Intelligence Starts Here.

Nexus Future Labs is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to design scalable, robust, and revolutionary systems that will power the next generation of digital experiences. You will not just be building models; you will be architecting the infrastructure for artificial general intelligence integration.

In this role, you will bridge the gap between cutting-edge research and production-grade engineering, ensuring our AI solutions are ethical, efficient, and ready for the demands of tomorrow.

Responsibilities

  • Architectural Vision: Lead the end-to-end design of AI infrastructure, focusing on scalability, security, and performance for 2026-era technologies.
  • Roadmap Strategy: Define and execute the technical roadmap for AI model deployment, identifying emerging trends such as edge computing and neuromorphic hardware.
  • Model Optimization: Oversee the optimization of large language models (LLMs) and generative AI systems to reduce latency and improve inference accuracy.
  • Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops on advanced AI architectures.
  • Collaboration: Work closely with cross-functional teams of data scientists, product managers, and security experts to align technical solutions with business goals.
  • Compliance: Ensure all AI systems adhere to strict data privacy regulations and ethical AI standards.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering with a strong focus on AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Cloud Mastery: Proven track record of designing systems on AWS, Azure, or Google Cloud Platform (GCP).
  • Problem Solving: Ability to tackle complex, undefined problems and deliver creative, scalable solutions.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes MLOps Machine Learning Deep Learning System Architecture

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