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Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the precipice of a new era in artificial intelligence. As a Senior AI Architect (2026 Vision), you will define the architectural frameworks that will power autonomous systems and agentic workflows in the coming years.

Nexus Future Systems is seeking a visionary leader to bridge the gap between theoretical AI research and scalable, production-grade infrastructure. You will be instrumental in shaping the 2026 roadmap, ensuring our platforms remain at the cutting edge of Generative AI, Autonomous Agents, and Edge Computing.

Why Join Us?
We offer a competitive compensation package, equity, and the opportunity to work on projects that will define the next decade of technology.

Responsibilities

  • Architect Future Systems: Design robust, scalable backend architectures for next-generation AI agents and autonomous decision-making systems.
  • Lead the 2026 Roadmap: Translate business objectives into technical roadmaps, identifying emerging technologies (e.g., Neuro-Symbolic AI) to integrate into our core stack.
  • Optimize Inference Latency: Engineer high-performance solutions for Large Language Model (LLM) inference, ensuring sub-millisecond response times.
  • Cross-Functional Leadership: Mentor a team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Implement enterprise-grade security protocols for sensitive AI data and ensure compliance with evolving global regulations.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering with at least 4 years specifically in Machine Learning or AI infrastructure.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Rust. Deep experience with Kubernetes, Docker, and cloud platforms (AWS/GCP).
  • AI Mastery: Demonstrated expertise in LLMs, RAG pipelines, and Vector Databases.
  • Strategic Vision: Proven ability to anticipate industry trends and implement forward-looking technical strategies.

Required Skills

Python Machine Learning LLMs Rust Kubernetes AWS PyTorch AI Architecture Cloud Computing

Ready to Take This Challenge?

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