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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Vision | San Francisco, CA

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our team in defining the technological landscape for 2026 and beyond. At OmniFuture Labs, we are not just building software; we are architecting the future of human-machine interaction. This role is pivotal in designing scalable, secure, and ethical AI systems that will power our next generation of products.


Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models (LLMs).
  • Shape the architectural standards for the year 2026.
  • Competitive equity and benefits package.

Key Responsibilities

As an AI Architect, you will bridge the gap between theoretical research and production-grade engineering. Your expertise will drive the deployment of autonomous agents and predictive analytics at scale.

Responsibilities

  • Lead the architectural design and implementation of scalable Machine Learning infrastructure targeting the 2026 deployment cycle.
  • Define and enforce best practices for data governance, model security, and ethical AI usage.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical blueprints.
  • Oversee the migration of legacy systems to modern, cloud-native AI environments.
  • Conduct deep-dive code reviews and architectural audits to ensure system resilience and performance.
  • Drive the evaluation and integration of emerging technologies (e.g., Quantum-ready algorithms, Neuromorphic computing) into our roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Deep understanding of MLOps, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Artificial Intelligence MLOps System Design NLP Computer Vision Docker Kubernetes

Ready to Take This Challenge?

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