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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Roadmap)

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

Job Description

We are building the infrastructure that will define the technology landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI Systems Architect to lead the architectural evolution of our generative AI platforms.


In this role, you won't just write code; you will shape the strategic direction of our technology stack, ensuring our systems are scalable, secure, and ready for the next generation of artificial intelligence.


Why join us?

  • Work on groundbreaking projects with a Fortune 500 impact.
  • Competitive compensation package.
  • Flexible remote and hybrid work options.

If you are a technical leader passionate about the future of AI, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for 2026 AI infrastructure, including Large Language Model (LLM) deployment strategies.
  • Design highly scalable, fault-tolerant distributed systems capable of handling petabyte-scale data.
  • Collaborate with cross-functional teams of data scientists and engineers to translate business requirements into technical architecture.
  • Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
  • Conduct rigorous code reviews and architectural assessments to ensure best practices in cloud-native development.
  • Stay ahead of industry trends to recommend new technologies that drive competitive advantage.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Proven experience designing and managing Kubernetes clusters and microservices architectures.
  • Strong understanding of MLOps, data pipelines, and model governance.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS MLOps Microservices Distributed Systems Machine Learning

Ready to Take This Challenge?

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