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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon)

Apex Innovation Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Horizon) to lead our next generation of intelligent systems. At Apex Innovation Systems, we are not just building for today; we are architecting the infrastructure that will define the technological landscape of 2026 and beyond.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing robust, secure, and efficient AI architectures that power our core products. You will work closely with cross-functional teams of data scientists, engineers, and product managers to deliver cutting-edge solutions that set industry standards.

If you are passionate about the future of AI and want to leave a lasting legacy in the tech world, we want to hear from you.

Responsibilities

  • Design and implement scalable AI/ML architectures focused on long-term viability and performance metrics for 2026.
  • Lead the end-to-end development lifecycle of AI models, from prototyping to production deployment using MLOps best practices.
  • Collaborate with product teams to define AI roadmaps and translate business requirements into technical specifications.
  • Ensure data integrity, model accuracy, and ethical AI standards across all projects.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Stay ahead of industry trends, including Generative AI, LLMs, and Edge Computing.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of experience in software engineering, with at least 3 years specializing in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Proven experience in building and deploying large-scale machine learning models.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Demonstrated experience in leading technical teams and driving architectural decisions.

Required Skills

Python Machine Learning MLOps Cloud Architecture TensorFlow PyTorch Generative AI LLMs AWS Data Science Agile System Design

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