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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior Agentic AI Architect (2026 Roadmap)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior Agentic AI Architect to lead the development of our proprietary systems for the 2026 release cycle. You will bridge the gap between theoretical AI capabilities and scalable, real-world applications, ensuring our platforms remain at the forefront of autonomous intelligence. If you are passionate about building the infrastructure that powers the future of work, this is your opportunity to shape the 2026 landscape.


Why Join Us?
We are a Silicon Valley powerhouse redefining the boundaries of Generative AI and Agentic workflows. Our 2026 roadmap focuses on creating self-improving systems that adapt to user needs without human intervention.

Responsibilities

  • Define and architect the technical vision for our 2026 AI product suite, focusing on autonomous agents and decision-making loops.
  • Design scalable microservices architectures capable of processing real-time data streams for AI inference.
  • Lead a team of ML engineers and data scientists in optimizing model performance and reducing latency.
  • Collaborate with product managers to translate 2026 strategic goals into technical roadmaps.
  • Ensure the security, ethics, and compliance of AI models deployed in production environments.
  • Stay ahead of emerging AI trends to integrate cutting-edge technologies into our core stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, C++, and cloud-native technologies (AWS, GCP, or Azure).
  • Proven track record of deploying large-scale LLMs and agentic workflows in production.
  • Strong understanding of distributed systems, machine learning operations (MLOps), and vector databases.
  • Excellent leadership skills with the ability to mentor senior engineering talent.

Required Skills

Python C++ TensorFlow PyTorch AWS MLOps Distributed Systems Machine Learning System Architecture Agile

Ready to Take This Challenge?

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