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Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence. We are looking for a visionary Senior AI Architect to join our elite team in San Francisco. As we prepare for the transformative landscape of 2026, you will spearhead the development of next-generation Generative AI systems that redefine human-machine interaction.

In this role, you will bridge the gap between cutting-edge research and scalable production engineering. You won't just be building models; you will architect the intelligent infrastructure of tomorrow, ensuring our solutions are robust, ethical, and ahead of the curve.

Why Join Us?

  • Work on the frontier of Agentic AI and Autonomous Systems.
  • Competitive equity and stock options in a Series B unicorn.
  • Unlimited PTO and comprehensive health benefits.
  • Access to state-of-the-art compute resources and research grants.

Ready to lead the AI revolution? Apply today.

Responsibilities

  • Architect and deploy large-scale LLM pipelines optimized for 2026 performance standards.
  • Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI.
  • Design fault-tolerant, distributed systems capable of handling billions of inference requests.
  • Collaborate with product and design teams to integrate AI agents into seamless user experiences.
  • Mentor junior engineers and establish best practices for ethical AI development.
  • Optimize model inference latency and reduce operational costs using quantization and pruning techniques.
  • Stay ahead of industry trends to anticipate future shifts in the AI landscape.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent industry experience).
  • 7+ years of experience in Machine Learning Engineering or AI Research.
  • Deep expertise in Python, PyTorch, TensorFlow, and Rust.
  • Proven track record of deploying production-ready models at scale.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.
  • Familiarity with multimodal models and vector databases (Pinecone, Milvus).
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch Rust Machine Learning MLOps Distributed Systems LLM Generative AI Cloud Architecture Deep Learning

Ready to Take This Challenge?

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

Apply Now

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