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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect (Project 2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are on the cusp of a technological revolution, and Nexus Future Systems is leading the charge into the future. We are looking for a visionary Principal AI Architect to spearhead Project 2026, our most ambitious initiative yet. You will be responsible for architecting the next generation of generative AI and autonomous systems that will define the landscape of enterprise technology.

If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting legacy, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI infrastructure that scales globally.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a premium office in the heart of SF.

Don't just watch the future happen—build it with us.

Responsibilities

  • Lead the architectural design and implementation of scalable AI/ML infrastructure for Project 2026.
  • Define and communicate the technical vision and long-term roadmap to stakeholders and engineering teams.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate business requirements into robust technical solutions.
  • Optimize model performance and reduce inference latency for real-time applications.
  • Ensure system security, compliance, and scalability across cloud environments (AWS/Azure/GCP).
  • Stay abreast of the latest advancements in AI research and integrate relevant breakthroughs into our products.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
  • Proficiency in programming languages such as Python, C++, and Java.
  • Experience with distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Strong understanding of cloud-native architecture and MLOps pipelines.
  • Proven track record of leading cross-functional teams through complex technical projects.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning Architecture Cloud Computing Kubernetes AWS Azure Microservices MLOps

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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