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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Readiness

Apex Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. Apex Future Systems is seeking a visionary Senior AI Architect to lead our research into next-generation artificial intelligence, Generative AI, and Quantum Computing integration. In this role, you will define the technical roadmap that bridges current capabilities with future technological paradigms.

As a key member of our innovation lab, you will not just implement existing solutions; you will architect the frameworks that will define the industry standards for the coming decade.

Responsibilities

  • Lead the architectural design and implementation of scalable AI/ML systems focused on 2026-era computational demands.
  • Develop and optimize Large Language Models (LLMs) for enterprise-grade applications.
  • Collaborate with cross-functional teams to integrate AI solutions into core business workflows.
  • Establish best practices for data privacy, ethical AI, and algorithmic transparency.
  • Research and prototype emerging technologies, including edge computing and neuromorphic computing.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • 8+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying production-ready AI models at scale.
  • Strong understanding of neural networks, natural language processing (NLP), and computer vision.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch Machine Learning Artificial Intelligence NLP Cloud Computing Docker Kubernetes AI Ethics Data Engineering

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