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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Aether Dynamics
Seattle
Estimated Salary
USD 165.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the cognitive infrastructure for the future. As a Senior AI Architect focused on the 2026 roadmap, you will lead the charge in deploying next-generation Generative AI agents and autonomous decision-making systems.

In this role, you won't just be maintaining models; you will be architecting the very foundations of how our enterprise applications reason, learn, and interact in the year 2026 and beyond.

Why join us?
We are a venture-backed leader in enterprise cognitive computing, seeking top-tier talent to solve humanity's hardest problems through scalable AI.

Responsibilities

  • Architect and deploy scalable LLM pipelines designed for the high-volume demands of 2026 enterprise workflows.
  • Design and implement autonomous agentic systems capable of complex multi-step reasoning without human intervention.
  • Optimize model inference latency and cost-efficiency using edge computing and quantization techniques.
  • Collaborate with cross-functional product teams to translate futuristic concepts into tangible, working prototypes.
  • Establish and enforce rigorous ethical guidelines and safety protocols for generative content.
  • Research and evaluate emerging technologies (e.g., Spatial Computing, Quantum-adjacent algorithms) for integration into our core stack.
  • Mentor junior engineers and contribute to the company's technical vision and knowledge base.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • Minimum of 6 years of professional experience in Machine Learning Engineering or Applied AI.
  • Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of shipping production-grade models.
  • Strong understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
  • Experience with vector databases (Pinecone, Weaviate) and semantic search technologies.
  • Familiarity with MLOps practices, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Generative AI MLOps Cloud Computing AWS System Design

Ready to Take This Challenge?

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