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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the trajectory of technology for the year 2026? Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems. In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering, ensuring our platforms remain at the cutting edge of the industry.

We are looking for a leader who thrives in ambiguity and is passionate about building systems that matter. If you are ready to shape the future of AI infrastructure, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that define the 2026 tech landscape.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with top-tier equipment.
  • Opportunity to mentor the next generation of tech leaders.

Responsibilities

  • Define the comprehensive technical roadmap for AI capabilities through 2026, ensuring alignment with business goals.
  • Design and architect scalable, fault-tolerant microservices and distributed systems using cloud-native technologies.
  • Lead the integration and optimization of Generative AI models into core products to enhance user experience.
  • Mentor a high-performing engineering team, fostering a culture of continuous learning and innovation.
  • Collaborate with product leadership to translate complex business requirements into technical specifications.
  • Ensure system security, scalability, and performance benchmarks are met or exceeded.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural or leadership role.
  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern Machine Learning frameworks.
  • Proven experience designing and deploying systems on AWS or Azure.
  • Strong understanding of distributed systems theory, data structures, and algorithmic complexity.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow System Architecture Cloud Computing (AWS/Azure) Distributed Systems Software Engineering

Ready to Take This Challenge?

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

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