ERM established its office in Nairobi in 2014 as part of a continued expansion initiative in East Africa to meet the needs of our global and local clients who are increasingly investing in this region of Africa.

Read more about this company

ERM is seeking an AI Data Engineer Consultant in North America 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.

ERM has enduring values, which are fundamental to our business conduct. We are passionate about our people, their safety, well-being and development. ERMers take accountability, are client focused, and collaborate with colleagues across geographies. If you share our values, believe in sustainability and are motivated by opportunities to shape, build, and contribute to a team that makes a real impact to our client’s businesses, ERM is the right place for you. We offer a flexible working environment and competitive salary.

As a Consultant on our team, you will be a valuable asset amongst a diverse team of professionals striving to address business growth, daily business operations and environmental issues. You will work within an environment that promotes proactive cooperation and motivates individuals to maintain a positive attitude in order to consistently deliver quality services and technical solutions.

Lead the next wave of AI‑driven digital transformation

If you thrive at the frontier of artificial intelligence, data engineering, and modern software development—and want your work to move beyond experimentation into real‑world impact—this role offers a unique opportunity to shape how AI delivers value at scale. 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.

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 Your Impact Is

• Enable AI‑driven solutions that transform messy, fragmented data into structured, business‑ready outputs.
• Design and scale intelligent workflows that combine LLMs, automation, and modern data engineering practices.
• Shape customer‑facing solutions by bridging AI research, robust engineering, and user‑centric design.
• Help evolve how organizations operationalize AI responsibly, effectively, and at enterprise scale.

What You’ll Bring

Required

• University degree holder 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 an AI data engineering and or EHS-related field.
• Diversified information technology background and knowledge of EHS software, methodologies, domains and technology an advantage but not required. (Environmental Compliance, Industrial Hygiene and Safety, Occupational Health, Occupational Hygiene, Audit Management, Incident Management & Risk Assessment)
• 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

• 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).

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.

Ready to make an impact? Apply today and join a team that combines technology, sustainability, and purpose to create a better future.

• 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.

• Large language models (OpenAI, Anthropic, Mistral, or open‑source equivalents)
• Embeddings, vector search, semantic similarity, and RAG architectures
• Python (async patterns, pandas, polars, AI SDKs)
• AI workflow orchestration frameworks (LangChain, LlamaIndex)
• SQL, relational data modeling, performance optimization
• Programmatic generation and manipulation of Excel, PDF, and Word documents
• API development (FastAPI, .NET, Node.js)
• Vue 3 (Composition API) and TypeScript (Preferred)
• Vector databases and AI-oriented data storage patterns (Preferred)
• Containerization, cloud platforms, or serverless architectures (Preferred)
• NLP, document intelligence, or data enrichment pipelines (Preferred)
• Monorepo or large‑scale project tooling (e.g., Turborepo, Nx) (Preferred)

• University degree holder 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 an AI data engineering and or EHS-related field.
• Diversified information technology background and knowledge of EHS software, methodologies, domains and technology an advantage but not required. (Environmental Compliance, Industrial Hygiene and Safety, Occupational Health, Occupational Hygiene, Audit Management, Incident Management & Risk Assessment)
• 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.
• Front‑end development experience using Vue 3 (Composition API) and TypeScript. (Preferred)
• Experience with vector databases and AI‑oriented data storage patterns. (Preferred)
• Familiarity with containerization, cloud platforms, or serverless architectures. (Preferred)
• Background in NLP, document intelligence, or data enrichment pipelines. (Preferred)
• Exposure to monorepo or large‑scale project tooling (e.g., Turborepo, Nx). (Preferred)