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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary Senior AI Strategy Architect to lead our roadmap in emerging technologies. In this role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our products remain at the forefront of innovation.

We are looking for a thought leader who can anticipate market shifts and translate them into robust architectural strategies. If you are passionate about the future of Artificial Intelligence and want to build systems that will define the next decade, this is your opportunity.

Key Highlights:

  • Lead the architectural vision for our 2026 product suite.
  • Work with a world-class team of engineers and data scientists.
  • Competitive compensation package including equity.

Responsibilities

  • Architect scalable AI infrastructure designed for 2026 market demands.
  • Lead cross-functional teams in the development of predictive and generative models.
  • Conduct feasibility studies on emerging technologies including Quantum Computing and Edge AI.
  • Define technical standards and best practices for AI integration across the organization.
  • Present technical roadmaps and strategic vision to executive stakeholders.
  • Monitor global tech trends to ensure the company remains ahead of the curve.
  • Collaborate with product managers to align technical capabilities with business goals.

Qualifications

  • 10+ years of experience in software architecture, AI development, or data science.
  • Proven track record of leading high-impact technical projects from conception to deployment.
  • Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
  • Deep understanding of Machine Learning algorithms, NLP, and Computer Vision.
  • Excellent communication skills to translate complex technical concepts for diverse audiences.
  • Experience with major cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
  • Strong problem-solving skills with a focus on scalability and security.

Required Skills

AI Machine Learning System Architecture Python TensorFlow Strategic Planning Cloud Computing

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