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Global IT Domain Architect Expert Director
2 months ago
We are seeking a highly skilled and experienced Gen AI/LLM Domain Architect Expert Director to join our Gen AI platform team. This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development.
Key Responsibilities- Architect and build scalable platforms that are secure and compliant to enterprise requirements.
- Design and implement advanced Generative AI capabilities, ensuring they align with enterprise security and compliance standards.
- Collaborate closely with the platform team, engineering teams, and stakeholders to ensure alignment with enterprise architecture principles and security standards.
- Document solution architectures thoroughly and review them with Platform teams, Enterprise Architects, Security, and other stakeholders.
- Develop strategic, reusable, secure, scalable platform capabilities that elevate the use of Generative AI.
- Master's or bachelor's degree in engineering (or equivalent) with a focus on artificial intelligence, machine learning, or data science.
- Proven experience in architecting Gen AI, Artificial Intelligence, Machine Learning, or Natural Language Processing based systems for scale and robustness.
- 2+ years' experience in experimenting, architecting, and developing with LLM.
- 1 to 2 years of experience with LLMs and related services for production use cases.
- 10+ years design and implementation experience of building enterprise-grade platform services with distributed architecture and security/compliance adherence.
- Strong knowledge and experience in Generative AI/LLM based development.
- Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Strong experience with cloud infrastructure for AI/Generative AI/ML.
- Experience with multi-agent architecture & frameworks and an understanding of multi-agent systems and their applications in complex, multi-step problem-solving scenarios.
- Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval.
- Knowledge and Experience in building knowledge graphs in production.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.
- Experience with security related to LLM integrations.
- Experience with implementing LLM guardrails at platform, agent, and application levels.
- Knowledge of training and fine-tuning Foundation Models, including multimodal inputs and outputs.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and all associated GenAI libraries and frameworks.
- Experience with LLM monitoring and observability.
- Experience in LLM Testing and Evaluation.
