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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the strategic roadmap for our 2026 product launches. This is a rare opportunity to define the technical backbone of next-generation artificial intelligence systems that will revolutionize industries globally.

In this high-impact role, you will bridge the gap between complex machine learning models and scalable infrastructure. You will lead a world-class team of engineers and data scientists, ensuring our solutions are not just current, but future-proof for the decade ahead.

At OmniFuture Systems, we are committed to pushing the boundaries of what is possible in technology. If you are passionate about building the future and want to leave a lasting legacy in the AI landscape, we want to hear from you.

Responsibilities

  • Architect and design robust, scalable AI systems targeted for deployment by 2026.
  • Define the technical vision and product roadmap in collaboration with executive leadership.
  • Lead cross-functional teams in the development and integration of cutting-edge Generative AI technologies.
  • Establish best practices for data governance, model security, and ethical AI implementation.
  • Optimize existing systems to handle increased workloads and ensure high availability.
  • Collaborate with product managers to translate business requirements into technical specifications.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven track record of delivering complex technical projects ahead of schedule.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Strong leadership skills with experience managing senior engineering teams.
  • Experience with large language models (LLMs) and natural language processing (NLP).
  • Master's degree in Computer Science, Data Science, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture TensorFlow PyTorch AWS GCP Azure Leadership Generative AI NLP

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