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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap Strategy

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

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Senior AI Architect to define our technology roadmap for the year 2026 and beyond.

As we stand on the precipice of the next industrial revolution, we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production systems. You will be responsible for designing the core infrastructure that powers our next-generation generative intelligence platforms.

Why This Role?

  • Impact: Directly shape the architectural standards that will define our products for the next decade.
  • Innovation: Work with state-of-the-art Large Language Models (LLMs) and autonomous agents.
  • Leadership: Mentor a high-performing team of data scientists and engineers.
  • Equity: Competitive compensation package including significant equity grants.

Responsibilities

  • Define and execute the comprehensive technical roadmap for the 2026 product release cycle.
  • Design scalable, fault-tolerant architecture for high-volume AI inference pipelines.
  • Lead architectural reviews and decision-making for complex, cross-functional projects.
  • Collaborate with product leadership to translate strategic business goals into technical specifications.
  • Ensure system security, compliance, and ethical AI implementation standards.
  • Drive the adoption of modern DevOps practices and MLOps workflows.
  • Research and evaluate emerging technologies to maintain a competitive edge.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of software engineering experience, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of leading engineering teams to delivery.
  • Strong understanding of LLMs, RAG architectures, and vector databases.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent verbal and written communication skills for executive-level stakeholder management.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes MLOps System Design Leadership Machine Learning Distributed Systems

Ready to Take This Challenge?

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