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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

FutureCore Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to architect the future? FutureCore Technologies is seeking a visionary Lead AI Architect (2026) to drive our next-generation artificial intelligence initiatives. As we prepare to launch our 2026 roadmap, we need a technical leader who can bridge the gap between theoretical AI potential and scalable, real-world application.

In this pivotal role, you will define the technical strategy for our neural network infrastructure, ensuring our platforms remain at the forefront of innovation. You will collaborate with cross-functional teams to deploy machine learning models that redefine user experiences.

Responsibilities

  • Define and execute the long-term technical roadmap for AI systems leading up to the 2026 release cycle.
  • Lead the architectural design of scalable machine learning pipelines and distributed systems.
  • Mentor and coach senior engineering teams on best practices in deep learning and neural architecture search.
  • Conduct rigorous code reviews and technical assessments to ensure system stability and performance.
  • Partner with product managers to translate complex AI capabilities into user-centric features.
  • Oversee the integration of emerging technologies such as edge computing and quantum-ready algorithms.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in artificial intelligence and machine learning leadership.
  • Deep expertise in Python, PyTorch, TensorFlow, and large language model (LLM) architecture.
  • Proven track record of delivering complex AI products from concept to production in a fast-paced environment.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with MLOps, model versioning, and data governance frameworks.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture Leadership PyTorch TensorFlow

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