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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the digital infrastructure for the year 2026. Nexus Innovations is seeking a visionary Senior AI Architect to lead the design and deployment of next-generation Agentic AI systems. In this role, you will bridge the gap between theoretical research and production-grade machine learning, ensuring our platforms are scalable, secure, and at the forefront of technological innovation.

As a key member of our elite R&D team, you will define the architectural standards for our AI initiatives, collaborating with cross-functional teams to deliver solutions that redefine user experiences.

Responsibilities

  • Architect and implement scalable Machine Learning pipelines and deep learning models tailored for high-throughput environments.
  • Lead the research and integration of emerging AI technologies, specifically focusing on Agentic AI and LLM optimization for 2026 standards.
  • Define technical vision and roadmaps for AI product development, ensuring alignment with business goals and industry trends.
  • Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Optimize model performance, reduce latency, and enhance inference efficiency across distributed cloud architectures.
  • Collaborate with product managers and security teams to ensure robust data governance and ethical AI deployment.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • 8+ years of professional experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (e.g., Kubeflow, MLflow).
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization technologies (Docker/Kubernetes).
  • Proven track record of deploying large-scale machine learning models to production environments.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture AWS Kubernetes MLOps NLP Agentic AI

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