AI and Data Engineer
Core
Build and maintain AI-enabled tools and infrastructure to help consultants produce better work faster by integrating LLMs, data pipelines, and workflow automations into real consulting workflows.
Role type
Senior IC AI and Data Engineer (Applied AI/LLM integration)
Builds
Internal AI tools for evidence synthesis, proposal review, knowledge retrieval, and document production; data pipelines; connectors between AI and other systems.
Domain
Management consulting / Applied Generative AI / Data Engineering
Deliverable
production ML models | product features
Required skills
LLM application patterns (prompting, RAG, embeddings, vector databases, tool use, function calling, evaluation), data pipeline development, API design, agentic engineering, cloud deployment, CI/CD, version control, testing, secure data handling.
Preferred skills
Azure OpenAI API or AWS Bedrock ecosystems, Microsoft Fabric, Data Build Tool (DBT), background in management consulting or professional services.
Technologies
Anthropic, AWS Bedrock, Azure OpenAI, Microsoft Fabric, DBT, vector databases, APIs, MCPs.
Responsibilities
Build internal AI tools supporting consulting workflows; develop and maintain data pipelines; develop connectors between AI and other systems; prototype new AI applications with consulting teams; maintain production AI tools including monitoring and bug fixes; integrate LLMs, retrieval systems, and internal knowledge sources; contribute to technical choices for architecture and deployment patterns.
Seniority
Senior, hands-on IC