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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Automation Architect (2026 Vision)

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

Job Description

We are seeking a visionary Senior AI & Automation Architect to spearhead our 2026 strategic roadmap. In this pivotal role, you will architect the next generation of intelligent systems, bridging the gap between cutting-edge artificial intelligence and scalable enterprise infrastructure. You will lead a team of engineers in deploying autonomous solutions that redefine operational efficiency for the modern era.

Our Culture:

Nexus Future Labs is a premier technology firm focused on the horizon. We value innovation, autonomy, and forward-thinking solutions. We offer a competitive benefits package, remote-first flexibility, and the opportunity to build the technology of tomorrow.

Responsibilities

  • Architect scalable, secure, and high-performance AI workflows for enterprise deployment.
  • Lead the technical vision for the 2026 product roadmap, integrating Large Language Models (LLMs) and generative AI.
  • Collaborate with cross-functional teams to define product requirements and technical specifications.
  • Oversee the implementation of Kubernetes and cloud-native architectures ensuring 99.99% uptime.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Conduct rigorous code reviews and system performance testing.
  • Identify and mitigate risks in AI model training and deployment pipelines.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of Machine Learning algorithms, NLP, and Computer Vision.
  • Experience designing microservices and containerized applications.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • Proven track record of leading high-impact engineering teams.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture Kubernetes AWS NLP System Design Leadership

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