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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap & Vision

Apex Future Systems
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Shape the Future of Technology in 2026

Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Senior AI Architect to lead our strategic roadmap. You will be at the forefront of developing next-generation Generative AI solutions, ensuring our infrastructure is ready for the demands of the future.

We are not just building software; we are architecting the 2026 Vision. If you thrive on solving complex problems and want to leave a lasting impact on the industry, this is your opportunity to lead with impact.

Why Join Us?

  • Work on cutting-edge Agentic AI and LLM technologies.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in Austin, TX.

Responsibilities

  • Lead the 2026 AI Roadmap: Define and execute the technical vision for AI capabilities through 2026, aligning with business goals.
  • Architect Scalable Systems: Design and implement robust, high-performance machine learning pipelines and inference engines.
  • Model Optimization: Research and implement techniques to improve model accuracy, speed, and cost-efficiency (e.g., quantization, distillation).
  • Cross-Functional Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Collaborate with product leadership to identify high-impact AI use cases for the upcoming fiscal year.
  • Security & Compliance: Ensure all AI deployments adhere to strict data privacy and ethical AI guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in a lead AI/ML architecture role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing (Kubernetes, Ray).
  • AI Expertise: Deep understanding of Large Language Models (LLMs), transformers, and prompt engineering strategies.
  • Problem Solving: Demonstrated ability to tackle ambiguity and drive technical strategy in a fast-paced environment.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Azure Kubernetes LLMs Generative AI Machine Learning Architecture Distributed Systems Prompt Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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