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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect & 2026 Strategy Lead

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the next decade? Apex Innovation Labs is seeking a visionary Senior AI Architect & 2026 Strategy Lead to spearhead our upcoming roadmap. In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable enterprise solutions, ensuring we are future-proofing our technology stack for the year 2026 and beyond.


We are not just building software; we are architecting the future of human-machine interaction. You will lead a cross-functional team of engineers, data scientists, and product managers to deploy next-generation Generative AI models. If you are passionate about the ethical implications of AI and have a proven track record of leading high-impact technical initiatives, we want to hear from you.


Why Join Us?

  • Be at the forefront of the AI revolution.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a vibrant San Francisco HQ.

Responsibilities

  • Define and execute the 2026 AI Strategic Roadmap, aligning technical capabilities with long-term business goals.
  • Lead the architecture and implementation of advanced Generative AI models, including LLMs and multimodal systems.
  • Oversee the end-to-end lifecycle of AI product development, from data ingestion to model deployment and monitoring.
  • Collaborate with C-suite executives and product teams to identify high-value AI use cases.
  • Establish best practices for AI ethics, safety, and compliance to mitigate risk.
  • Build and mentor a high-performing team of AI engineers and researchers.

Qualifications

  • 10+ years of experience in software engineering, data science, or artificial intelligence.
  • Proven experience leading AI strategy initiatives and managing large-scale technical projects.
  • Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and MLOps pipelines.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with frameworks such as TensorFlow, PyTorch, or Hugging Face.

Required Skills

Artificial Intelligence Machine Learning LLM Generative AI NLP MLOps Cloud Architecture Strategy Leadership

Ready to Take This Challenge?

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