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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology?

Nexus Innovations is seeking a visionary Senior AI Architect to lead our 2026 roadmap. In this role, you won't just write code; you will architect the digital backbone of tomorrow's enterprise solutions. We are looking for a technologist who thrives on complexity and is passionate about pushing the boundaries of Generative AI, Machine Learning, and scalable infrastructure.

Why Join Us?

  • Work with state-of-the-art hardware and cloud ecosystems.
  • Shape the strategic direction of AI integration for Fortune 500 clients.
  • Competitive equity package and top-tier benefits.

We are committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Responsibilities

  • Design and implement scalable, high-performance AI and Machine Learning systems for complex enterprise challenges.
  • Lead the architectural strategy for the 2026 product roadmap, ensuring long-term scalability and security.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Optimize existing models for inference speed and reduce cloud costs.
  • Stay ahead of industry trends in AI, Quantum computing, and Edge AI.

Qualifications

  • Minimum of 7+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Proficiency in Python, TensorFlow, PyTorch, or equivalent deep learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience designing MLOps pipelines and model versioning strategies.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is a plus.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps Machine Learning System Design SQL Docker

Ready to Take This Challenge?

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