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Senior AI Architect - 2026 Future Tech

InnovateX
Seattle
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to help define the landscape of intelligent systems for 2026 and beyond. At InnovateX, we are not just building software; we are engineering the future of human-machine interaction. You will be at the forefront of integrating Generative AI, Predictive Analytics, and Ethical AI frameworks into scalable enterprise solutions.

In this role, you will collaborate with cross-functional teams of data scientists, engineers, and product managers to transform complex data into actionable insights and autonomous systems. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a legacy in the tech landscape, we want to meet you.

Responsibilities

  • Design and implement scalable machine learning models and neural network architectures for real-time applications.
  • Lead the end-to-end data pipeline lifecycle, from data ingestion and preprocessing to model deployment and MLOps.
  • Research and prototype cutting-edge AI technologies to stay ahead of industry trends.
  • Collaborate with product teams to define AI-driven features that enhance user experience.
  • Ensure ethical AI practices, including bias detection and fairness in algorithmic decision-making.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership or architect role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying large-scale AI systems in production environments.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Docker Kubernetes Natural Language Processing AI Architecture

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