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Senior AI Architect - 2026 Tech Stack

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Architects of Tomorrow

Nexus Horizon Systems is pioneering the 2026 AI revolution. We are looking for a visionary Senior AI Architect to lead the design and implementation of our next-generation enterprise intelligence platform. You will be at the forefront of integrating Agentic AI and Large Language Models into scalable production environments.

If you are passionate about building systems that define the future and thrive in a fast-paced, high-impact environment, we want to meet you.

Why Join Us?

  • Work on cutting-edge technology for the 2026 release cycle.
  • Competitive compensation and equity package.
  • Flexible remote-first culture.

Responsibilities

  • Lead the 2026 Technical Roadmap: Define the architectural vision for our core AI engines, ensuring scalability, security, and performance for the 2026 release.
  • Design Agentic Workflows: Spearhead the integration of autonomous agents into our data pipeline, optimizing decision-making processes.
  • Model Optimization: Engineer efficient inference engines using Quantization and Pruning techniques to reduce latency in edge computing environments.
  • Tech Stack Leadership: Mentor a team of ML Engineers and Data Scientists, establishing best practices for MLOps and CI/CD pipelines.
  • Strategic Partnerships: Collaborate with product leaders to translate complex business requirements into robust technical solutions.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • Experience: 7+ years of experience in Machine Learning Engineering, with at least 3 years in a senior leadership or architect role.
  • Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, and modern Deep Learning frameworks.
  • Cloud Mastery: Extensive experience designing systems on AWS, Azure, or GCP with a focus on Kubernetes and serverless architectures.
  • Future-Ready Tech: Demonstrated experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and vector databases.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes MLOps LLM NLP System Design Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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