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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are seeking a visionary Senior AI Strategy Architect to lead our cutting-edge research and development initiatives. As we approach the technological horizon of 2026, you will be responsible for defining the architectural blueprint of our next-generation artificial intelligence systems. This is a high-impact role for a thought leader who thrives on solving complex problems and shaping the future of tech.

Why Join Us?

  • Work at the forefront of AI innovation.
  • Competitive compensation package and equity options.
  • Flexible work environment and remote-first culture.

The Role:

You will bridge the gap between theoretical AI research and practical, scalable engineering solutions. Your work will directly influence our product roadmap and set the standard for AI excellence in the industry.

Responsibilities

  • Define and execute the long-term AI and Machine Learning architectural strategy for the 2026 product roadmap.
  • Lead the design and implementation of scalable AI infrastructure using modern cloud technologies.
  • Mentor and guide a team of talented data scientists and software engineers to foster a culture of innovation.
  • Conduct rigorous research to evaluate emerging AI technologies and integrate them into our core systems.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical AI solutions.
  • Ensure data privacy, security, and ethical AI compliance across all projects.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architect role within AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and big data processing frameworks (Spark, Hadoop).
  • Proven track record of delivering production-grade AI systems at scale.
  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Artificial Intelligence Machine Learning TensorFlow PyTorch Cloud Computing System Architecture Leadership Data Science

Ready to Take This Challenge?

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