Presales Tech Consultant: AI-Driven Data Solutions

Elsevier; Little Elm (TX); On-site; USD 72,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Wellbeing platform

Insurance coverage

Parental leave

Savings accounts

Paid time off

Job summary

Elsevier is seeking a Technical Consultant (Pre-Sales) for Advanced Data Solutions to drive revenue by aligning data and software capabilities with customer objectives. You will lead technical discovery, shape data-driven use cases, and demonstrate how Elsevier’s offerings enable trusted analytics, AI-powered workflows, and knowledge graphs.

You will collaborate with Sales, Professional Services, and Product teams to ensure feasible, scalable solutions while grounding LLMs and RAG applications

Qualifications

• Deep understanding of data-driven analytics workflows (ingestion, enrichment, integration, insight).
• Knowledge of Generative AI, LLM-based solutions (RAG, prompts, agentic workflows, responsible AI).
• Familiarity with AI platforms, tooling, MCP, and knowledge graphs integration patterns.

Responsibilities

• Develop and maintain expertise in Elsevier solutions, datasets, APIs, MCP servers, AI agents, and semantic tools.
• Lead technical discovery to translate objectives into data-driven use cases and architectures.
• Design and deliver demonstrations showing analytics, AI-powered workflows, and knowledge graphs.

Skills

Data-driven analytics

Generative AI & LLM

Cloud & API ecosystems

Communication & storytelling

Travel readiness

Education

Master’s or PhD in science/tech/data

Equivalent practical experience

Tools

AWS

REST APIs

SFTP

OAuth

Docker

Python

Job description

Elsevier is seeking a Technical Consultant (Pre-Sales) for Advanced Data Solutions to drive revenue by aligning data and software capabilities with customer objectives. You will lead technical discovery, shape data-driven use cases, and demonstrate how Elsevier’s offerings enable trusted analytics, AI-powered workflows, and knowledge graphs.

You will collaborate with Sales, Professional Services, and Product teams to ensure feasible, scalable solutions while grounding LLMs and RAG applications