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Information Technology 🏒 Full Time ⭐️ Verified

AI & Automation Architect

Apex Future Systems
Seattle
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of tomorrow? Apex Future Systems is seeking a visionary AI & Automation Architect to lead the charge in developing next-generation intelligent systems. In this pivotal role, you won't just implement existing solutions; you will architect the infrastructure that powers our enterprise through 2026 and beyond.

We are looking for a pioneer who thrives on ambiguity and possesses a deep understanding of generative AI, predictive modeling, and autonomous agents. You will collaborate with cross-functional teams to design scalable, ethical, and high-impact AI solutions that solve complex business problems.

Why Join Us?

  • Work on cutting-edge projects that shape the future of automation.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in Seattle.
  • Access to state-of-the-art hardware and research libraries.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and autonomous agent frameworks for enterprise applications.
  • Lead the integration of Large Language Models (LLMs) and Generative AI technologies into core business workflows.
  • Define technical roadmaps for AI innovation, ensuring alignment with 2026 strategic business goals.
  • Mentor a team of data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Conduct rigorous research and proof-of-concept testing for emerging AI technologies.
  • Ensure data privacy, security, and ethical AI compliance across all projects.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of experience in software engineering, machine learning, or AI research.
  • Proficiency in programming languages such as Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of deep learning architectures, NLP, and computer vision.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Natural Language Processing TensorFlow PyTorch Cloud Architecture Docker Kubernetes AI Strategy Seattle Washington

Ready to Take This Challenge?

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