Global IT Domain Architect Expert Director

7 days ago

London, Greater London, United Kingdom Boston Consulting Group Full time
Job Summary

We are seeking a highly skilled and experienced Gen AI/ LLM Domain Architect Expert Director to join our team at Boston Consulting Group. This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development.

Key Responsibilities
  • 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 achieve the outcomes.
  • Document solution architectures thoroughly and review them with Platform teams, Enterprise Architects, Security, and other stakeholders to ensure alignment with enterprise architecture principles and security standards.
  • Develop strategic, reusable, secure, and scalable platform capabilities that elevate the use of Generative AI.
Requirements
  • 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.
Preferred Qualifications
  • 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.
What You'll Work With
  • Your Gen AI Platform team members, PO, and Chapter Lead.
  • Portfolio Lead Architect, Enterprise Architects, Technical Area Leads, Product Owners, and Chapter Leads.
  • Agile Coaches and Scrum Masters.

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