4 months ago
London, United KingdomStaff+
Responsibilities
- Own technical execution from discovery through production, including building, assessing, hardening, and delivering AI prototypes and proofs of concept.
- Design and govern reusable agentic AI patterns covering orchestration, tool use, memory, retrieval, prompt engineering, context management, and production guardrails.
- Integrate AI into enterprise systems through APIs and data pipelines while meeting security, compliance, data-governance, and data-residency standards.
- Create reusable patterns, reference implementations, and starter kits; provide architecture, infrastructure, hosting, sizing, and budget recommendations.
- Work with internal stakeholders, host-function users, senior management, and cross-functional teams to finalize requirements and drive technical decisions.
- Write specifications, design data models, fix complex bugs, establish measurable baselines, and instrument solutions for productivity, cost, and quality outcomes.
- Track in-flight AI pilots to prevent duplication and identify solutions suitable for reuse and scaling.
- Plan and sequence delivery, manage scope and dependencies, remove blockers, and coordinate internal and external resources.
- Evaluate emerging technologies, serve as the squad’s primary technical contact for external resources, and mentor and elevate engineers.
Requirements
- 10+ years of software engineering experience with hands-on AI system design, development, or integration and a record of taking enterprise AI prototypes to production.
- Bachelor’s degree in engineering, computer science, or equivalent; an advanced degree is preferred.
- Experience with LLM orchestration, prompt engineering, context-window management, production guardrails, MCP, tool-augmented agents, and enterprise-scale RAG.
- Experience integrating AI with enterprise systems through APIs and data pipelines, with strong security, data-governance, and data-residency practices.
- Experience with AWS, Azure, or GCP and managed AI/ML services.
- Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
- Experience modeling data across relational, columnar, and vector stores and applying sound architectural principles.
- Ability to manage delivery, scope, dependencies, priorities, budgets, and external resources while operating effectively in ambiguity.
- Strong communication and influence skills, including presenting to senior management and driving cross-functional technical decisions.
- Experience establishing baselines and measuring productivity, cost, and quality outcomes from pilot through scale.
Benefits
- Healthy work/life balance, flexible working hours, wellbeing initiatives, and country-specific benefits.
- Shared parental leave, maternity, paternity, adoption, and family-care leave.
- Study assistance, sabbatical leave, and a generous vacation entitlement.
- Comprehensive pension plan and personal choice budget.
- Internal communities and networks, employee discounts, recruitment introduction rewards, and a global Employee Assistance Program.
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.