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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological landscape for our 2026 strategic roadmap. In this pivotal role, you will bridge the gap between theoretical innovation and practical application, ensuring our AI infrastructure is scalable, secure, and future-proof.

As part of a forward-thinking team, you will collaborate with senior leadership to identify emerging trends in generative AI, quantum computing, and autonomous systems. You will own the architecture for our core products, ensuring they meet the high-performance standards required for the next generation of digital experiences.

Why Join Us?

  • Work on groundbreaking projects that define the industry standard for 2026.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Define and execute the 2026 AI Architecture Strategy, aligning technical roadmaps with business objectives.
  • Design scalable, fault-tolerant systems for machine learning pipelines and large language models.
  • Lead a team of senior engineers and data scientists in research, prototyping, and production deployment.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Conduct architectural reviews to ensure code quality, security, and performance.
  • Identify emerging technologies (e.g., Neural Interfaces, Edge AI) and prototype their integration.

Qualifications

  • Bachelor’s 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 AI/ML architecture and leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud architectures (AWS/GCP/Azure).
  • Proven track record of leading cross-functional teams through complex digital transformations.
  • Strong understanding of Generative AI models, LLMs, and RAG architectures.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture MLOps Generative AI Leadership Strategy SQL

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