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Senior Agentic AI Architect - 2026 Vision

Aperture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow?

We are Aperture Systems, a pioneer in next-generation autonomous computing. As we accelerate toward our 2026 roadmap, we are seeking a visionary Senior Agentic AI Architect to lead the development of our proprietary Synthetic Intelligence ecosystem. You will be at the forefront of transforming how machines perceive, reason, and execute complex tasks autonomously.

In this role, you won't just write code; you will define the architectural frameworks that will power the next decade of human-machine collaboration. If you are obsessed with scalability, safety, and the future of AI, we want to meet you.

Responsibilities

  • Design and deploy scalable Agentic AI architectures capable of autonomous decision-making and multi-agent orchestration.
  • Pioneer research into next-generation Large Language Models (LLMs) and reinforcement learning frameworks for 2026 readiness.
  • Collaborate with cross-functional teams to integrate predictive analytics into core product infrastructures.
  • Optimize model latency and throughput for edge computing environments.
  • Establish best practices for AI safety, fairness, and explainability in autonomous systems.
  • Lead technical mentorship for junior engineers and data scientists within the AI division.
  • Stay ahead of the curve on emerging technologies, including neuromorphic computing and generative synthetic data.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
  • Minimum of 7 years of professional experience in machine learning engineering or AI research.
  • Deep expertise in Python, PyTorch, and distributed computing frameworks (e.g., Ray, Kubernetes).
  • Proven track record of leading large-scale AI projects from conception to production deployment.
  • Strong understanding of MLOps, model versioning, and CI/CD pipelines for machine learning.
  • Experience with prompt engineering and fine-tuning foundation models for specific vertical use cases.
  • Fantastic communication skills with the ability to translate complex technical concepts for executive stakeholders.

Required Skills

Python PyTorch Machine Learning MLOps Large Language Models Distributed Systems AI Architecture Kubernetes Cloud Computing

Ready to Take This Challenge?

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