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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & GenAI Strategist

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Future Systems is seeking a visionary Senior AI Architect & GenAI Strategist to lead our next-generation artificial intelligence initiatives.

In this pivotal role, you will define the technical roadmap for our Generative AI products, bridging the gap between cutting-edge research and scalable production systems. You will be at the forefront of the 2026 tech landscape, deploying models that understand context, reason, and create.

Why Join Us?

  • Work on projects that redefine human-machine interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a San Francisco hub.

Responsibilities

  • Architect and implement scalable GenAI and LLM pipelines optimized for high-throughput inference.
  • Lead the research and evaluation of emerging foundation models and fine-tuning strategies.
  • Define best practices for prompt engineering, RAG (Retrieval-Augmented Generation), and agent-based systems.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate complex AI concepts into user-centric features.
  • Ensure ethical AI standards, data privacy, and robustness in all deployed models.
  • Drive technical mentorship for junior data scientists and machine learning engineers.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (5+ years of relevant experience considered).
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tooling (MLflow, Kubeflow, Weights & Biases).
  • Proven track record of designing large-scale machine learning systems in production environments.
  • Strong understanding of Natural Language Processing (NLP) and Transformer architectures.
  • Experience with vector databases, embedding models, and RAG architectures.
  • Excellent communication skills and a passion for solving complex technical challenges.

Required Skills

Python Machine Learning Generative AI LLMs PyTorch TensorFlow System Design MLOps NLP Cloud Computing RAG Ethics in AI

Ready to Take This Challenge?

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