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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect for Project 2026

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

Job Description

We are at the forefront of the Project 2026 initiative, a global mission to redefine artificial intelligence infrastructure with a focus on sustainability and scalability. FutureCore Systems is seeking a visionary Senior AI Architect to lead the technical strategy for our flagship platform.

In this pivotal role, you will not just write code; you will architect the future. You will be responsible for designing the core neural networks and distributed systems that will power our solutions through the 2026 horizon and beyond. If you are passionate about high-performance computing and want to leave a lasting impact on the tech landscape, this is your opportunity.

Why join Project 2026?

  • Work on cutting-edge AI infrastructure that impacts millions.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in Austin, TX.
  • Opportunity to mentor the next generation of AI engineers.

Responsibilities

  • Design and implement scalable AI models and infrastructure for the Project 2026 ecosystem.
  • Lead architectural decisions that ensure high availability, security, and performance.
  • Collaborate with data scientists to optimize algorithmic efficiency and reduce energy consumption.
  • Define technical roadmaps and mentor a team of 8+ senior engineers and data scientists.
  • Conduct code reviews and establish best practices for the engineering department.
  • Translate complex business requirements into robust technical solutions.
  • Stay abreast of the latest advancements in Generative AI and distributed systems.

Qualifications

  • Master’s or PhD 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.
  • Proven experience leading engineering teams and delivering complex projects on time.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure).
  • Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Excellent communication skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Artificial Intelligence Machine Learning System Architecture Cloud Computing AWS Kubernetes TensorFlow Leadership DevOps Data Science

Ready to Take This Challenge?

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