Principal Software Engineer / Principal AI Engineer
AI in this role
Principal Software Engineer / Principal AI Engineer
Are you excited about building intelligent systems powered by innovative AI technologies?
Do you enjoy designing models that turn complex data into impactful solutions?
About the team:
Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.
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.
Key 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:
Engineering experience: 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.
Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred.
Agentic AI / LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.
Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices.
Cloud: AWS, Azure or GCP, including managed AI/ML services.
Delivery: Agile, CI/CD, modern SDLC and TDD.
Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles.
Ways of working: Thrives in ambiguity, framing the problem, extracting a defined spec, and prioritises shipping validated outcomes over perfect solutions, moving pilots to production at pace.
Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
Leadership and delivery management: Plans and sequences work, manages scope, dependencies and priorities, removes blockers, and drives delivery to keep innovation moving.
Communication and influence: Presents concisely to senior management, host-function stakeholders and cross-functional teams, and builds buy-in and drives technical decisions across.
Commercial awareness: Budget-aware; partners with internal and external resources, including managed services and staff augmentation.
Measurement: Establishes baselines and instruments solutions to track productivity, cost and quality outcomes from pilot through scale.
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
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 business-
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. Click here to access benefits specific to your location.
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USA Job Seekers:
How we rate this
Principal Software Engineer / Principal AI Engineer at RELX rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering and RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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