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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
APIs
Data pipelines
Security
Data governance
Data residency
AWS
Azure
GCP
Managed AI/ML services
Agile
CI/CD
Modern SDLC
TDD
Relational stores
Columnar stores
Vector stores
Architectural principles
Python
Java
TypeScript/JavaScript
SQL
AI SDKs
Leadership
Delivery management
Communication
Influence
Commercial awareness
Measurement

Experience Level

10+ years

Education Level

BS in Engineering, Computer Science, or equivalent

Benefits

Comprehensive Pension Plan
Generous vacation entitlement and option for sabbatical leave
Maternity, Paternity, Adoption, and Family Care Leave
Personal Choice budget
Internal communities and networks
Various employee discounts
Recruitment introduction reward
Employee Assistance Program (global)

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.
We know your well-being and happiness are key to a long and successful career.
We are delighted to offer country specific benefits.
Elsevier is a global leader in advanced information and decision support for science and healthcare.
We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.
We deliver insights that help research institutions, governments, and funders achieve their goals.
We help researchers discover and share knowledge, collaborate, and accelerate innovation.
We help librarians provide verified, quality information to universities.
We help innovators turn knowledge into new products.
We help health professionals improve patient care and educators train the next generation of doctors and nurses.
Connecting quality content and innovative technologies, we make progress go further and happen faster.
And by championing inclusion and sustainability, we ensure progress benefits all.
With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.
We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.
If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
Elsevier is part of RELX Group.
Let’s shape progress together.
Join us.

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