About the Role :

ERM is seeking an AI Data Engineer Consultant in North America to join our global Digital Services business. This requisition is not an active hiring opportunity; we are gathering resumes to support future project requirements and to build our talent pipeline.

Why This Role Matters :

Artificial intelligence is rapidly reshaping how organizations make decisions, manage risk, and unlock value from data. This role plays a pivotal part in transforming AI from a promising concept into a dependable, production-ready capability. You will architect intelligent pipelines, orchestrate advanced AI workflows, and deliver trusted outputs that directly influence business decisions, strategy, and outcomes.

What Youll Bring :

- University degree in Environmental Sciences, Information Technology, Computer Science, Engineering, Management Information Systems, or Theoretical Business.

- 4-6 years of relevant experience in an AI data engineering or EHS-related field.

- Hands-on experience working with large language models (OpenAI, Anthropic, Mistral, or open-source equivalents).

- Deep understanding of embeddings, vector search, semantic similarity, and RAG architectures.

- Strong proficiency in Python with experience using async patterns, data libraries (pandas, polars), and AI SDKs.

- Experience implementing AI workflows using LangChain, LlamaIndex, or similar orchestration frameworks.

- Solid skills in SQL, relational data modeling, and performance optimization.

- Proven ability to generate and manipulate Excel, PDF, and Word documents programmatically.

- Experience building APIs using FastAPI, .NET, or Node.js and integrating them into production systems.

Key Responsibilities :

- Design and implement AI-powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.

- Orchestrate LLMs to automate data manipulation, validation, and cross-referencing tasks.

- Deliver polished, customer-ready outputs in Excel, PDF, Word, and other business formats.

- Prototype emerging AI tools and approaches, translating proofs-of-concept into scalable solutions.

- Build and integrate full-stack applications, connecting AI-driven back-ends to modern web interfaces.

- Design and optimize relational and vector databases to support AI workflows at scale.

- Contribute to best practices for code quality, documentation, and maintainable system design.

Preferred Skills :

- Front-end development experience using Vue 3 (Composition API) and TypeScript.

- Experience with vector databases and AI-oriented data storage patterns.

- Familiarity with containerization, cloud platforms, or serverless architectures.

- Background in NLP, document intelligence, or data enrichment pipelines.

- Exposure to monorepo or large-scale project tooling (e.g., Turborepo, Nx).