Environmental Resources Management (ERM) is seeking an AI Data Engineer Consultant to join our global Digital Services business. At ERM, we offer a robust combination of deep EHS&S experience together with broad environmental management information solution expertise. Our services span the entire information management life cycle, from assisting clients with information solutions portfolio assessment, strategy, technology evaluation and planning, to designing, testing and implementing enterprise-wide systems and innovative technologies.
Role Overview
As an AI Data Engineer, you will help define how intelligent systems turn complex data into actionable insight for clients navigating their most critical challenges. You will architect intelligent pipelines, orchestrate advanced AI workflows, and deliver trusted outputs that directly influence business decisions, strategy, and outcomes.
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.
Qualifications and Experience
- University degree in an environmental or technical field such as Environmental Sciences, Information Technology, Computer Science, Engineering, Management Information Systems, or Theoretical Business.
- 4-6 years of relevant experience in AI data engineering and/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.
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).
How to Apply
Interested and qualified candidates should apply online by visiting the Environmental Resources Management (ERM) Application Page.
.png){kind=logo}
