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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Strategy Architect | 2026 Roadmap | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary Senior AI & Strategy Architect to lead the technical roadmap for our upcoming 2026 initiatives. At Nexus Future Labs, we don't just build software; we engineer the future. In this pivotal role, you will define the architectural vision for next-generation artificial intelligence systems, ensuring scalability, security, and performance as we scale towards a decentralized digital ecosystem.

If you have a passion for solving complex problems and a track record of leading high-impact engineering teams, we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology shaping the 2026 landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with access to top-tier tech infrastructure.

Responsibilities

  • Lead the architectural design and implementation of the 2026 technology roadmap, focusing on Generative AI and Spatial Computing integration.
  • Define and enforce best practices for cloud infrastructure, data governance, and machine learning model deployment.
  • Collaborate with cross-functional product teams to translate business requirements into robust technical solutions.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Conduct technical assessments and architectural reviews to mitigate risks and ensure system integrity.
  • Stay ahead of industry trends to recommend innovative tools and frameworks that drive competitive advantage.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML engineering or system design.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent deep learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven experience in leading teams through large-scale digital transformations.
  • Excellent problem-solving skills with a focus on scalability and high availability.
  • Master’s degree in Computer Science, Engineering, or a related technical field is preferred.

Required Skills

Python Machine Learning System Design Cloud Architecture Kubernetes AWS PyTorch Strategic Planning Leadership

Ready to Take This Challenge?

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