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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Initiative)

2026 Systems
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our revolutionary '2026' platform. In this role, you will design the core infrastructure for next-generation artificial intelligence integration, ensuring scalability, security, and performance at an enterprise level. You will bridge the gap between theoretical AI research and practical, production-ready software solutions.

Why Join Us?

At 2026 Systems, we are not just building software; we are architecting the future of human-computer interaction. You will have the opportunity to work with cutting-edge technologies, including Large Language Models (LLMs), neural networks, and edge computing architectures. We offer a competitive benefits package, equity opportunities, and a culture that prioritizes innovation and mentorship.

Responsibilities

  • Architect and implement scalable microservices for AI model deployment and inference.
  • Design robust data pipelines to handle high-velocity data streams and vector databases.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Optimize application performance, ensuring low latency and high availability for critical AI features.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Stay abreast of the latest advancements in AI research and integrate relevant technologies into the product stack.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related technical field (Master’s preferred).
  • 7+ years of experience in software engineering, with a strong focus on backend architecture.
  • Deep expertise in Python, Go, or Java, and familiarity with frontend frameworks like React or Vue.
  • Proven experience working with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Strong understanding of software design patterns, algorithms, and data structures.

Required Skills

Python Go React Kubernetes AWS Machine Learning AI Architecture Microservices Data Pipelines

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