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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of technology?

Nexus Future Systems is seeking a visionary Lead AI Architect to define our strategic technology roadmap leading up to 2026. In this high-impact role, you will be at the forefront of integrating Generative AI, Quantum Computing, and next-gen neural networks into scalable enterprise solutions. You won't just be maintaining systems; you will be building the foundational architecture that drives our products for the next decade.

Why Join Us?

  • Shape the 2026 Roadmap for cutting-edge AI technologies.
  • Work in a high-performance environment focused on innovation and scalability.
  • Competitive compensation package and equity options.

The Role:

As our Lead AI Architect, you will bridge the gap between theoretical AI research and practical, high-volume implementation. You will lead a team of engineers in deploying large-scale models and ensuring system resilience in a rapidly evolving technological landscape.

Responsibilities

  • Define and execute the technical 2026 roadmap for AI and Machine Learning infrastructure.
  • Design scalable, fault-tolerant microservices architectures capable of handling high-throughput data streams.
  • Lead the integration of cutting-edge Generative AI models into our core product suite.
  • Collaborate with product managers to translate business requirements into technical blueprints.
  • Mentor senior engineers and foster a culture of continuous learning and innovation.
  • Conduct rigorous code reviews and architectural assessments to ensure security and performance standards.

Qualifications

  • 10+ years of experience in Software Engineering and System Architecture.
  • Deep expertise in Python, Java, or Go, with a focus on AI/ML frameworks (TensorFlow, PyTorch).
  • Proven experience leading cross-functional teams in a fast-paced startup or enterprise environment.
  • Strong understanding of Cloud Infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Experience with Large Language Models (LLMs) and vector databases is highly preferred.
  • Excellent problem-solving skills with a focus on scalability and optimization.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning System Architecture Generative AI Microservices Cloud Computing

Ready to Take This Challenge?

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