Senior AI Engineer — Build Deployable AI Solutions

Elsevier; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Generous vacation entitlement

Maternity, Paternity, Adoption, and/Fa

Personal Choice budget

Internal communities and networks

Employee discounts

Recruitment introduction reward

Employee Assistance Program (global)

Job summary

Elsevier is seeking a Senior Software Engineer / Senior AI Engineer to join an Embedded Innovation Squad. You will lead design and development of AI-enabled systems, translating stakeholder needs into production-ready software.

You’ll mentor junior engineers, review code, and help establish best practices across a range of platforms and data environments. You will collaborate closely with host-function teams to ensure solutions fit real workflows, contribute to architecture decisions, and drive

Qualifications

• Engineering experience: 4+ years in software engineering, ideally with AI-enabled or data-intensive systems.
• Education: BS in Engineering, Computer Science, or equivalent.
• Autonomy: capable of working independently in defined problems and delivering in short cycles where validated outcomes matter.
• Agentic AI: building RAG pipelines, tool-augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability.
• Agent fundamentals: understand agents using memory, tools, and retrieval to complete multi-step tasks.
• Software design: able to design across multiple components translating product requirements into software designs.
• Specifications: write and review portions of detailed specifications for complex components.
• Enterprise integration: integrating AI into existing systems via APIs and data pipelines.
• Cloud: AWS, Azure, or GCP.
• Delivery: CI/CD, modern SDLC, TDD, and code review.
• Data: relational, columnar, and vector stores with solid data modeling principles.
• Languages: Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
• Mentoring: mentoring engineers through pair programming and collaboration.
• Communication: clear written and verbal communication with peers and stakeholders.
• Measurement: instrumenting solutions to capture usage, productivity, and quality metrics.

Responsibilities

• Build prototypes and proofs of concept and ship AI solutions to production standard within a defined technical approach.
• Implement and test tool use, retrieval pipelines, and agent workflows.
• Contribute to evaluation, observability and guardrails for agentic systems with logging and alerting requirements.
• Instrument solutions to capture outcome data against baselines.
• Integrate AI capabilities into existing enterprise workflows and systems.
• Collaborate with stakeholders to translate product requirements into software designs.

Skills

Python

Java

TypeScript/JavaScript

SQL

AI SDKs

Cloud (AWS, Azure, GCP)

CI/CD

Data pipelines

Education

BS in Engineering / Computer Science

Job description

Elsevier is seeking a Senior Software Engineer / Senior AI Engineer to join an Embedded Innovation Squad. You will lead design and development of AI-enabled systems, translating stakeholder needs into production-ready software.

You’ll mentor junior engineers, review code, and help establish best practices across a range of platforms and data environments. You will collaborate closely with host-function teams to ensure solutions fit real workflows, contribute to architecture decisions, and drive