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About the Role

As a Principal AI Engineer, you will be the technical lead for an embedded Innovation Squad, owning technical execution from discovery through to production. You will assess and harden existing AI prototypes, deliver new ones, and establish the agentic AI patterns, orchestration, tool use, memory, and retrieval that other squads reuse. You are the senior source of expertise on AI architecture, integration, and delivery. You will work directly with internal stakeholders and end users in the host function, finalising requirements, making the architectural calls, and codifying validated solutions into reusable patterns, reference implementations, and starter kits. You may also provide sizing, infrastructure, and budget recommendations, and you will mentor and elevate the engineers around you.

Responsibilities

Own technical execution from discovery to production; build, assess, and harden prototypes and proofs of concept, and deliver new ones.
Design and govern reusable agentic AI patterns (orchestration, tool use, memory, retrieval).
Ensure delivery meets architecture, security and data-governance standards; recommend infrastructure, hosting and data residency.
Codify validated solutions into patterns, reference implementations, and starter kits so they can be picked up and scaled across other functions.
Provide design input, finalise requirements, and work directly with internal stakeholders and end users in the host function.
Write specifications, fix complex bugs, and design complex data models.
Act as the primary technical contact for external resources and the squad's go-to on coding and AI.
Establish baselines and report measurable outcomes for every initiative.
Maintain visibility of in-flight AI pilots within the function to prevent duplication and surface candidates for reuse.
Ensure alignment with enterprise non-negotiables: security, compliance and central technology infrastructure standards.
Continuously evaluate emerging technologies and mentor and elevate team members.
Take on related responsibilities as the squad's needs evolve.

Requirements

10+ years in software engineering, with hands-on AI system design, build or integration, and a track record of taking AI prototypes to production in enterprise environments.
BS in Engineering, Computer Science or equivalent; advanced degree preferred.
LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.
Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices.
AWS, Azure or GCP, including managed AI/ML services.
Agile, CI/CD, modern SDLC and TDD.
Modelling across relational, columnar and vector stores, grounded in sound architectural principles.
Thrives in ambiguity, framing the problem, extracting defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace.
Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving.
Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across.
Budget-aware; partners with internal and external resources, including managed services and staff augmentation.
Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale.

Skills

AI system design
AI system build
AI system integration
LLM orchestration
Prompt engineering
Context-window management
Production guardrails
MCP
Tool-augmented agents
RAG at enterprise scale
Enterprise integration
API integration
Data pipeline integration
Security practices
Data governance practices
AWS
Azure
GCP
Managed AI/ML services
Agile
CI/CD
Modern SDLC
TDD
Relational data modelling
Columnar data modelling
Vector store modelling
Architectural principles
Problem framing
Specification extraction
Outcome prioritization
Python
Java
TypeScript
JavaScript
SQL
AI SDKs
Work planning
Scope management
Dependency management
Priority management
Blocker removal
Delivery driving
Concise presentation
Stakeholder management
Cross-functional team collaboration
Buy-in building
Technical decision driving
Budget awareness
Partnership
Managed services
Staff augmentation
Baseline establishment
Solution instrumentation
Productivity tracking
Cost tracking
Quality tracking

Location

Work Type

Full-time

Experience Level

Principal
10+ years

Education Level

BS in Engineering
BS in Computer Science
Advanced degree preferred

Benefits

Comprehensive Pension Plan
Generous vacation entitlement
Option for sabbatical leave
Maternity leave
Paternity leave
Adoption leave
Family Care leave
Personal Choice budget
Internal communities and networks
Various employee discounts
Recruitment introduction reward
Employee Assistance Program (global)
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Flexible working hours

About the Company

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice.
At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.
We harness innovative technologies to support science and healthcare to partner for a better world.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company.
Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Equal Opportunity

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USA Job Seekers: EEO Know Your Rights.