AI Data Engineer/Consultant
First seen by Alion on Aug 21, 2026. ERM scores B on the Alion truth index.
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).
Skills
Data Engineering, Artificial Intelligence, OpenAI, RAG, Python, LLM, LangChain, SQL, Prompt Engineering, Data Pipeline