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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

OmniCorp Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Are you ready to architect the future? OmniCorp Innovations is seeking a visionary Senior AI Architect to lead our cutting-edge 2026 roadmap. We are building the infrastructure for tomorrow, today, and we need a technical leader who can translate complex AI concepts into scalable, production-ready systems.

In this role, you will define the technical strategy for our next-generation machine learning platforms, ensuring we remain at the forefront of innovation. You will work with world-class engineers and data scientists to deploy models that solve real-world problems, pushing the boundaries of what is possible in 2026 and beyond.

Why Join Us?

  • Work on high-impact projects that shape the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art offices in SF.
  • Opportunity to mentor the next generation of AI talent.

Responsibilities

  • Lead the architectural vision and design for our 2026 AI infrastructure roadmap.
  • Design and implement scalable, fault-tolerant machine learning pipelines and MLOps workflows.
  • Collaborate with product leadership to translate business requirements into technical specifications.
  • Drive the adoption of emerging technologies, including Generative AI and Large Language Models.
  • Optimize existing models for performance, latency, and cost efficiency.
  • Establish best practices for data governance, security, and ethical AI usage.
  • Mentor senior engineers and conduct code reviews to ensure high-quality delivery.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Expert knowledge of cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying end-to-end AI solutions in production environments.
  • Experience with distributed systems, microservices, and high-availability architectures.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Passion for the future of technology and a desire to define the 2026 landscape.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes MLOps Machine Learning Deep Learning Distributed Systems

Ready to Take This Challenge?

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