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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | San Francisco, CA

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

Job Description

Are you ready to architect the future?

At 2026 Innovations, we are not just predicting the next decade of technology; we are building it. We are seeking a visionary Senior AI Architect to lead our generative intelligence initiatives. You will be at the helm of deploying scalable, cutting-edge AI solutions that will define the standard for industry innovation.

The Role:

You will bridge the gap between theoretical research and practical engineering. You will lead the technical strategy for our AI infrastructure, ensuring our models are not only powerful but also responsible, efficient, and scalable.

Why 2026?

  • Work on high-impact, future-facing projects that shape the technological landscape.
  • Competitive compensation package including equity and stock options.
  • Access to the latest hardware and cloud resources for rapid prototyping.

Responsibilities

  • Design and implement scalable machine learning pipelines and generative AI models (LLMs, Transformers).
  • Lead technical architecture for large-scale data processing and model deployment.
  • Collaborate with cross-functional teams to translate complex AI concepts into user-centric product features.
  • Optimize model latency, throughput, and resource utilization for real-time applications.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Conduct research on emerging AI technologies to maintain a competitive edge.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership or architecture role.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with MLOps tools (MLflow, Kubeflow) and data warehousing solutions (Snowflake, BigQuery).
  • Exceptional problem-solving skills and the ability to mentor junior engineers.

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning TensorFlow PyTorch AWS MLOps Kubernetes Generative AI Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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