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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Visionary Program

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

Job Description

We are looking for a forward-thinking Lead AI Architect to spearhead our 2026 strategic roadmap. At Nexus Innovations, we are not just building software; we are engineering the future. In this pivotal role, you will define the architectural vision for our next generation of AI-driven platforms, ensuring we are ahead of the curve in the rapidly evolving tech landscape of 2026.

As a key architect, you will bridge the gap between high-level business strategy and technical execution, leading a world-class team of engineers to deliver scalable, robust, and innovative solutions.

Responsibilities

  • Architect and lead the development of the 2026 AI Infrastructure roadmap, ensuring scalability and future-proofing.
  • Design complex distributed systems using microservices and containerization technologies (Kubernetes/Docker).
  • Define technical standards, coding guidelines, and best practices for the engineering department.
  • Collaborate with product managers and stakeholders to translate business goals into technical requirements.
  • Drive the integration of generative AI and large language models into core product offerings.
  • Mentor and develop high-performing engineering talent, fostering a culture of continuous improvement.
  • Conduct rigorous code reviews and architectural assessments to mitigate risk.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
  • Deep expertise in Python, Java, or Go, with proven experience in AI/ML frameworks (TensorFlow, PyTorch, Spark).
  • Strong understanding of cloud-native architecture (AWS, Azure, or GCP).
  • Proven track record of leading technical teams through large-scale digital transformations.
  • Excellent problem-solving skills with a focus on performance optimization and security.
  • Master's degree in Computer Science, Engineering, or a related technical field is highly preferred.
  • Experience working in agile/Scrum environments and driving sprint outcomes.

Required Skills

Python AI Architecture Cloud Computing Kubernetes System Design Machine Learning Leadership

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