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Senior AI Architect (Generative Intelligence)

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

Job Description

We are looking for a visionary Senior AI Architect to lead our cutting-edge Generative AI initiatives. In this pivotal role, you will be at the forefront of defining how artificial intelligence will reshape industries, building the foundational systems required for the technological landscape of 2026.

At Nexus Horizon Systems, we don't just predict the future; we engineer it. You will lead a team of elite engineers and researchers in designing scalable, efficient, and ethically responsible AI models that power our global platforms.

Why Join Us?

  • Work with state-of-the-art Large Language Models (LLMs) and Vector Databases.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium office amenities in SF.

Ready to build the future? Apply today.

Responsibilities

  • Architect and deploy scalable Generative AI solutions, including LLM fine-tuning and RAG pipelines.
  • Lead the technical vision for AI infrastructure, ensuring high availability and low-latency inference.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to define AI ethical guidelines and safety protocols.
  • Optimize model performance and reduce computational costs through advanced quantization and pruning techniques.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of emerging trends in AI research to integrate novel capabilities into our product roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern NLP libraries (Hugging Face, LangChain).
  • Proven track record of deploying production-grade AI models at scale.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
  • Strong understanding of transformer architectures and generative model training.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs AWS Docker Kubernetes RAG Fine-tuning

Ready to Take This Challenge?

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

Apply Now

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