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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

TechNova Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Systems Architect to lead our 2026 roadmap. In this high-impact role, you will define the architectural blueprints for next-generation artificial intelligence, ensuring our platforms are scalable, secure, and ready for the technological landscape of tomorrow.

At TechNova, we don't just predict the future; we engineer it. You will collaborate with world-class engineers and product leaders to build robust AI infrastructures that solve complex real-world problems.

Why Join Us?

  • Work on cutting-edge projects that define the future of AI.
  • Competitive compensation and equity packages.
  • Flexible remote-first policies.

Responsibilities

  • Architect and implement scalable AI infrastructure designed for long-term sustainability and 2026 readiness.
  • Define the technical vision and strategy, aligning AI capabilities with broader business objectives.
  • Lead a high-performance engineering team in the development of advanced machine learning models.
  • Ensure data integrity, security protocols, and ethical AI practices across all system deployments.
  • Translate complex technical requirements into robust, elegant software solutions.
  • Drive architectural decisions regarding cloud infrastructure, microservices, and API design.
  • Mentor junior developers and foster a culture of continuous innovation and learning.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML engineering.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native architectures (AWS, GCP, or Azure).
  • Proven track record of leading technical teams through the full software development lifecycle.
  • Experience with large-scale data processing (Spark, Kafka) and distributed systems.
  • Strong problem-solving skills with the ability to navigate ambiguity and drive results.
  • Excellent communication skills to bridge the gap between technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Distributed Systems TensorFlow Leadership Strategic Planning

Ready to Take This Challenge?

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