Senior Consultant AI Engineer AI Specialist Forensics

EY Studio+ Nederland; Dubai; On-site; AED 250,000 - 300,000; Full time

Job summary

A global consulting firm is seeking a Senior Consultant - AI Engineer with 35 years of experience in creating AI-driven solutions. The ideal candidate has expertise in AI agents, Large Language Models, and data modelling. Responsibilities include designing AI workflows, conducting exploratory data analysis, and collaborating on procurement analytics. This position offers an exciting opportunity for someone passionate about data integrity and AI-driven initiatives. Strong communication skills required.

Qualifications

• 35 years of hands-on experience in AI engineering.
• Strong experience creating AI agents using frameworks like LangChain.
• Experience working with LLMs (OpenAI, Meta, etc.).

Responsibilities

• Design, build and deploy AI agents for automation.
• Develop intelligent pipelines to integrate AI models.
• Support POCs and solution demonstrations in AI.

Skills

AI agents

Large Language Models (LLMs)

Python

Data modelling

Exploratory Data Analysis (EDA)

SQL

Machine learning NLP

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML

Tools

Python libraries (PyTorch, TensorFlow, Scikit-learn)

ERP systems (SAP, Oracle)

Job description

Senior Consultant - AI Engineer / AI Specialist - Forensics

Location: Dubai UAE
Department: Forensic & Integrity Services
Experience Required: 35 Years

About the Role

We are seeking a highly skilled AI Engineer with 35 years of hands‑on experience in building AI‑driven solutions. The ideal candidate will have strong expertise in AI agents LLMs data modelling exploratory data analysis and data cleansing using AI‑based tools. Experience in procurement analytics or exposure to procurement datasets will be considered an advantage.

Key Responsibilities

AI Development & Engineering

• Design, build and deploy AI agents for automation, decision support and workflow optimization.
• Fine‑tune, evaluate and implement Large Language Models (LLMs) for business use cases.
• Develop intelligent pipelines and workflows to integrate AI models into existing systems.
• Use GenAI tools for document summarization, narrative generation, data exploration and insight explanation.

Data Modelling & Analysis

• Build robust data models to support machine learning workflows and analytical insights.
• Perform Exploratory Data Analysis (EDA) to identify trends, anomalies and model features.
• Design data schemas, transformation pipelines and model‑ready datasets.

Data Engineering & Integration

• Clean, transform and integrate data from ERP systems (e.g., SAP, Oracle), financial systems, transactional databases and external sources.
• Design and implement data pipelines using SQL, Python and relevant tools.
• Conduct data profiling, cleansing and normalization to prepare datasets for analytics and modelling.
• Ensure data integrity, quality, lineage and auditability across all project workstreams.

Procurement Analytics (Preferred)

• Work with procurement data such as spend data, supplier information and sourcing KPIs.
• Build and support AI‑driven procurement analytics use cases (e.g., spend classification, supplier risk scoring, category insights).

Collaborate with category managers and procurement stakeholders to translate requirements into AI models.

Consulting & Engagement Support

• Collaborate with internal and client teams to gather requirements, understand challenges and design data‑driven solutions.
• Support POCs, proposals and solution demonstrations in areas related to AI and digital transformation.
• Contribute to the development of best practices, reusable assets and thought leadership in analytics & AI.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML or related field.
• 35 years of hands‑on experience in machine learning NLP or AI engineering.
• Strong experience creating AI agents using frameworks like LangChain, LlamaIndex or similar.
• Experience working with LLMs (OpenAI, Meta, Llama, Anthropic, etc.).
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit‑learn).
• Strong skills in data modelling, SQL and analytical problem‑solving.
• Experience performing EDA and working with large‑scale datasets.
• Familiarity with AI/ML Ops versioning and deployment pipelines is a plus.
• Experience with procurement‑related datasets is a strong plus.

Soft Skills

• Strong analytical and problem‑solving skills.
• Excellent communication and ability to work cross‑functionally.
• Detail‑oriented with a passion for clean, well‑structured data.
• Ability to work independently and take ownership of AI‑driven initiatives.

Required Experience:

Senior IC