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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - Future Systems (2026 Vision)

OmniStream Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? OmniStream Technologies is seeking a visionary Lead AI Architect to spearhead the development of our next-generation predictive systems.

In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, production-ready engineering solutions. You will lead a high-performance team of data scientists and engineers, establishing architectural blueprints that ensure security, scalability, and ethical AI deployment.

We are not just building software; we are architecting the future. Join us in shaping the intelligent infrastructure that will power the world of tomorrow.

Responsibilities

  • Design and oversee the implementation of complex AI and machine learning architectures.
  • Lead a cross-functional team of engineers and data scientists to drive project delivery.
  • Define technical roadmaps and ensure alignment with business goals and 2026 strategic vision.
  • Optimize existing systems for performance, latency, and cost-efficiency using cloud-native technologies.
  • Establish best practices for code quality, testing, and deployment in a CI/CD environment.
  • Collaborate with stakeholders to translate business requirements into technical specifications.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of designing scalable microservices and distributed systems.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
  • Master's degree in Computer Science, AI, or a related field is a plus.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning System Design Leadership Cloud Computing Microservices

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