AI Data Solutions Engineer (Hybrid, Azure)

LEK; Boston (MA); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits

Job summary

L.E.K. Consulting is seeking an Associate Data & AI Analyst in Boston to design, deploy, and maintain AI-driven data solutions across the full lifecycle—data pipelines, lakehouse architectures, ML/LLMs, and RAG-enabled applications.

The role blends Python, SQL, and Azure-based development with collaboration across technical and non-technical stakeholders to translate business needs into production-ready systems while mindful of AI limitations.

Qualifications

• 2–5 years of experience in machine learning, data engineering, AI application development, or a related technical field.
• Strong Python and SQL skills, with experience developing clean, production-quality code.
• Practical experience with large language models, prompt engineering, model evaluation, and retrieval-augmented generation (RAG).
• Knowledge of traditional machine learning techniques such as classification, natural language processing, or sentiment analysis.
• Experience building data pipelines, performing ETL, and working with lakehouse architectures such as Microsoft Fabric.
• Experience with Microsoft Azure, Docker/containerization, web application deployment, and CI/CD practices.
• Understanding of vector databases and search technologies used in RAG solutions.
• Ability to evaluate when AI-based approaches are appropriate and when traditional solutions may be more effective.
• Strong analytical problem-solving skills and the ability to translate stakeholder requirements into scalable technical solutions.
• Clear written and verbal communication skills with both technical and non-technical audiences.
• Bachelor's degree in Computer Science, Data Science, Data Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or related technology or quantitative discipline.

Responsibilities

• Design and deploy traditional machine learning and LLM-based solutions that address practical business needs.
• Build and maintain data pipelines and lakehouse architectures using Microsoft Fabric and related Azure services.
• Develop retrieval-augmented generation (RAG) solutions using search indexes, vector databases, and enterprise data sources.
• Prepare, refine, and enrich datasets to improve model performance, evaluation, and reliability.
• Develop and deploy internal web applications and dashboards on Azure, partnering with stakeholders on user experience and KPI visualization where needed.
• Evaluate model and LLM output quality, including failure modes such as hallucination, bias, prompt injection, context limitations, and reliability issues.
• Integrate AI agents with enterprise APIs, tools, and data sources, including through Model Context Protocol (MCP).
• Maintain high code quality through Git-based workflows, code review, documentation, and DevOps best practices.
• Partner with cross-functional teams to translate ambiguous business requirements into scalable technical designs and clearly communicate trade-offs and AI limitations.

Skills

Python

SQL

LLMs

RAG

Azure

Docker

CI/CD

Data pipelines

Vector databases

Git-based workflows

Education

Bachelor's degree in Computer Science or related

Tools

Microsoft Fabric

Azure

Git

Job description

L.E.K. Consulting is seeking an Associate Data & AI Analyst in Boston to design, deploy, and maintain AI-driven data solutions across the full lifecycle—data pipelines, lakehouse architectures, ML/LLMs, and RAG-enabled applications.

The role blends Python, SQL, and Azure-based development with collaboration across technical and non-technical stakeholders to translate business needs into production-ready systems while mindful of AI limitations.