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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary Track)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Now: Architect the 2026 Roadmap

Nexus Horizon Labs is at the forefront of technological evolution. We are looking for a visionary Senior AI Architect to lead our strategic initiatives for the year 2026. If you are passionate about building scalable, predictive, and generative AI systems that define the next decade of enterprise computing, this is your opportunity.

In this role, you will bridge the gap between theoretical AI capabilities and practical, high-performance infrastructure. You will be responsible for designing the architectural backbone that powers our predictive models and autonomous systems.

Why Join Us?

  • Work on cutting-edge generative AI and LLM integration.
  • Shape the technical direction for the year 2026 and beyond.
  • Competitive equity package and top-tier benefits.

The Role

We need a leader who can translate complex business goals into robust technical architectures. You will oversee the entire AI lifecycle, from data ingestion to model deployment, ensuring our systems are resilient, secure, and future-proof.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling 2026-scale data volumes.
  • Lead the architectural vision for Generative AI and predictive analytics platforms.
  • Collaborate with cross-functional teams to integrate AI models into core product workflows.
  • Optimize model latency and reduce inference costs through advanced engineering techniques.
  • Establish best practices for MLOps, data governance, and model security.
  • Research emerging technologies to ensure our 2026 roadmap remains competitive.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and large language models (LLMs).
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes/Docker).
  • Proven track record of leading high-impact engineering projects from concept to deployment.
  • Experience with real-time data streaming and edge computing.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker Machine Learning MLOps Generative AI System Design Cloud Architecture

Ready to Take This Challenge?

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

Apply Now

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