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Senior AI Architect (Future Tech)

OmniCorp Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to define the technological roadmap for 2026. As the world moves towards agentic AI and deep reasoning models, OmniCorp Dynamics is pioneering the next generation of intelligent systems. You will not just build models; you will architect the entire infrastructure that powers our future.

In this pivotal role, you will bridge the gap between theoretical machine learning research and production-grade scalability. You will lead a team of brilliant engineers and data scientists, ensuring our AI platforms remain at the cutting edge of innovation.

Why Join Us?

  • Work on next-generation AI infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art hardware and cloud resources.

Responsibilities

  • Design and implement scalable Machine Learning (ML) and Deep Learning (DL) architectures for large-scale production environments.
  • Lead the research and integration of emerging AI paradigms, including LLMs, Transformers, and Reinforcement Learning.
  • Oversee the MLOps pipeline, ensuring model deployment, monitoring, and retraining strategies are robust and efficient.
  • Mentor junior architects and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
  • Ensure data privacy, security, and ethical AI compliance across all platforms.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Experience designing distributed systems and high-throughput microservices.
  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Proven track record of deploying AI models in production at scale.
  • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Distributed Systems Cloud Computing (AWS/Azure/GCP) NLP Computer Vision

Ready to Take This Challenge?

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