GenAI Architect

Job description

• 12 and 15 years of experience with Data Science AI ML and Generative AI technologies
• Extensive experience in designing solutions utilizing GenerativeAI AI and ML components
• Extensive hands on experience in implementing end to end projects utilizing GenerativeAI
• Extensive hands on experience in designing and building GenerativeAI application using methodologies such as RAG
• Hands on experience in working with Azure OpenAI services or other managed large language models
• Experience with AI ML search and data services within Azure ecosystem such as Azure OpenAI AI Search CosmosDB Functions etc
• Experience with evaluation validation and refinement of results from GenerativeAI RAG based applications
• Experience with setting up monitoring observability and guardrails for GenerativeAI solutions
• Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application
• Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc
• Experience with AIML deep learning TensorFlow Python NLP
• Excellent understanding of machine learning techniques and algorithms such as GPTs CNN RNN kNN Naive Bayes SVM Decision Forests etc

Skills

Mandatory Skills : Architecture Governance

Good to Have Skills : Business Process Design, Mapping, Capability Models, EA Frameworks, Reference Architecture, Research, Papers, Roadmap/ Strategy, Transformation

Required Skills : Data Science

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No