Home Job Details
A
Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Architect

Apex Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of intelligence?

Apex Horizon Solutions is pioneering the next generation of digital experiences. As we scale toward our ambitious 2026 vision, we are seeking a visionary Senior Generative AI Architect to design scalable, secure, and transformative AI systems.

In this pivotal role, you won't just manage existing models; you will architect the foundation for autonomous agents and cognitive computing that redefine human-machine interaction. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and AI ethics, we want to hear from you.

Responsibilities

  • Design and implement robust architectural frameworks for Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
  • Lead the Research & Development (R&D) strategy for next-gen AI features, ensuring scalability, low-latency performance, and high availability.
  • Collaborate closely with product managers and engineering teams to integrate advanced AI capabilities into core business workflows.
  • Establish industry-leading best practices for AI ethics, data privacy, bias mitigation, and model interpretability.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Monitor emerging AI trends and evaluate their applicability to the company’s long-term roadmap.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 7+ years of experience in machine learning, deep learning, or AI engineering roles.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of deploying production-grade AI applications serving millions of users.
  • Strong understanding of transformer architectures, fine-tuning techniques, and RAG (Retrieval-Augmented Generation) pipelines.
  • Experience with MLOps tools (MLflow, Kubeflow) and model versioning strategies.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning LLM Generative AI Cloud Architecture MLOps

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All