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Senior AI Strategy Architect (2026 Roadmap)

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Aether Dynamics is seeking a visionary Senior AI Strategy Architect to define our technological roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge research and scalable enterprise implementation, ensuring our platforms remain at the forefront of the industry.

We are looking for a thought leader who doesn't just write code but defines the future of how AI integrates into our global ecosystem. If you thrive in high-pressure environments and possess a deep understanding of the AI landscape, we want to hear from you.

Responsibilities

  • Define the 2026 Vision: Lead the strategic planning and execution of our AI infrastructure roadmap, identifying key milestones and deliverables for the upcoming fiscal year.
  • Architect Scalable Solutions: Design and oversee the implementation of robust, scalable AI systems capable of handling enterprise-grade workloads.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering teams to translate complex business requirements into technical roadmaps.
  • Trend Analysis: Monitor emerging AI trends, quantum computing advancements, and generative model capabilities to keep Aether Dynamics ahead of the curve.
  • Resource Allocation: Mentor junior architects and engineers, fostering a culture of innovation and technical excellence within the engineering department.
  • Stakeholder Communication: Present complex technical strategies to executive leadership and stakeholders with clarity and precision.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: Minimum of 8+ years of experience in software engineering, with at least 3 years in a senior architecture or strategic leadership role.
  • Technical Skills: Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
  • Strategic Thinking: Proven track record of defining long-term technical strategies and successfully executing them.
  • Tools: Proficiency in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS, GCP, Azure).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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