We are seeking for an experienced AI Solution Architect and hands on LLM practitioner to design, develop and deploy AI-powered solutions that revolutionize business transformation.
The role requires a deep understanding of Data Science, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models and involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.
The expert will be responsible for translating project requirements into architecture solutions and hands on development, ensuring the integration of cloud-native tools (GCP/AWS) to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions.
Leading and presale capabilities as well as good ability to work with costumers are required for the job.
Location: Remote primarily
Employment Type: Full-time
Work you’ll do:
• Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with project goals and digital transformation efforts
• Select appropriate technologies from a pool of open-source and GCP/AWS offerings, considering deployment models and integration with existing tools
• Develop AI solutions (hands on involvement in tools development)
• Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure
• Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field.
• 3+ years of experience in building AI/ML solutions, with hands-on experience working with LLMs.
• Strong programming skills in Python and experience with AI frameworks such as TensorFlow, PyTorch, or LangChain.
• 1+ years of experience building GenAI environments
• 1+ year of experience in implementing cloud-based AI/ML workloads on AWS/GCP
• Strong understanding of RAG, vector databases (e.g., Pinecone, Weaviate, FAISS), and embedding techniques – An advantage
• Proficiency in using and integrating LLM APIs – An advantage
• Strong communication and presentation skills for both technical and non-technical stakeholders.
Preferred:
• Certifications in cloud architecture and AI/ML (e.g., AWS AI/ML, Google Cloud AI Engineer).
* משרה זו פונה לנשים וגברים כאחד.