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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Apex Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are building the infrastructure for the future, and we need a visionary Senior AI Architect to lead our 2026 technology roadmap. Join a team that is redefining the boundaries of generative AI and predictive modeling.

In this role, you will be at the forefront of innovation, architecting next-generation machine learning systems that scale to petabytes of data. You will collaborate with cross-functional teams to integrate cutting-edge AI solutions into our core products, ensuring we stay ahead of the curve in a rapidly evolving landscape.

Why Join Us?

  • Work on high-impact projects with a clear 2026 vision.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium office amenities.

Apply today to help shape the future of technology.

Responsibilities

  • Lead the architecture and development of scalable Machine Learning and Deep Learning pipelines for the 2026 product suite.
  • Design and implement state-of-the-art Large Language Model (LLM) fine-tuning strategies and Retrieval-Augmented Generation (RAG) systems.
  • Optimize model inference latency and cost-efficiency for high-volume production environments.
  • Establish best practices for MLOps, model governance, and ethical AI deployment.
  • Collaborate with product managers and engineers to translate complex business requirements into technical AI solutions.
  • Stay abreast of the latest research in AI/ML and evaluate novel techniques for integration.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 7+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of deep learning architectures, NLP, and computer vision.
  • Excellent communication skills and ability to mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps AWS Docker Kubernetes Generative AI LLM SQL

Ready to Take This Challenge?

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

Apply Now

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