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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Future of AI (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the next era of intelligent systems? Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our initiatives for the 2026 landscape. We are not just building models; we are architecting the future of synthetic cognition.

In this high-impact role, you will lead the technical strategy for our next-generation Generative AI platforms. We are looking for a thought leader who understands the trajectory of AI evolution and can build systems that are scalable, ethical, and revolutionary.

Why Join Us?

  • Impactful Work: Shape the infrastructure that powers the AI of tomorrow.
  • Future-Forward: Be at the forefront of the 2026 AI evolution.
  • Competitive Compensation: Top-tier salary and equity packages.

What You Will Do:

  • Design and deploy scalable architectures for large-scale Language Models (LLMs).
  • Lead the transition to autonomous Agentic AI workflows.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Ensure data integrity and model robustness in high-traffic environments.
  • Define ethical AI guidelines and safety protocols for future model iterations.
  • Mentor junior engineers and foster a culture of innovation.

Responsibilities

  • Architect end-to-end AI pipelines from data ingestion to model deployment.
  • Optimize inference latency and cost efficiency for 2026-scale workloads.
  • Research and prototype novel neural network architectures.
  • Establish MLOps best practices for continuous learning systems.
  • Drive technical decision-making regarding hardware acceleration (e.g., TPUs, GPUs).

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-grade LLMs.
  • Strong understanding of Natural Language Processing (NLP) and multimodal learning.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Excellent leadership and communication skills.

Required Skills

Python PyTorch TensorFlow LLMs NLP Machine Learning MLOps Cloud Computing Deep Learning Agentic AI Ethics in AI

Ready to Take This Challenge?

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

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