Experian
Data and technology
AgenticAIEngineer
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Agentic AI Engineer at Experian. Skills: Agentic AI, GenAI, Python, Automation. Explore emerging technologies. Run proof of concepts”
What You'll Achieve.
Help assess suitability for enterprise adoption; Help define reusable patterns; Help close gaps between concept, pilot, and production
Industry & Context.
Translate business challenges into clear technical approaches; Turn ambiguity into structured outcomes
What They're Looking For.
Must Have
5+ years of experience in software engineering, solution engineering, automation, AI/GenAI, platform engineering, integration, or closely related technical disciplines, Hands-on experience building solutions using Python, Node. js, or similar languages, Ability to work hands-on with unfamiliar technologies and turn ambiguity into structured outcomes, Comfort working in enterprise environments with structured delivery practices such as Agile, testing, change control, and service management
Nice to Have
Experience with GenAI, Agentic AI, LLMs, APIs, MCP, prompt design, retrieval patterns, orchestration, or automation platforms, Experience with automation platforms (UiPath, Automation Anywhere, agentic automation frameworks, CrewAI, n8n, or orchestration tools), Experience with cloud, integration, infrastructure, or solution design, Familiarity with ITIL-aligned service management practices
What You'll Do.
Explore emerging technologies
Run proof of concepts
Assess suitability for adoption
Translate business challenges
Define reusable patterns
Prototype AI solutions
Implement AI solutions
Contribute to architecture decisions
Contribute to design documentation
Contribute to testing
Contribute to deployment readiness
Contribute to operational handover
Operate with attention to detail
Partner with Engineering teams
Partner with Security teams
Partner with Product teams
Partner with Operational Excellence teams
Partner with delivery teams
Provide constructive challenge
Provide practical support
Mentor project managers
Support project managers
How You'll Work.
Team & Collaboration
Partner with Engineering, Security, Product, Operational Excellence, and delivery teams; Provide expertise, constructive challenge, and practical support across innovation and delivery discussions; Mentor and support developers, analysts, project managers, and stakeholders
Full Job Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. * Explore emerging technologies, products, and patterns; run proof of concepts and help assess suitability for enterprise adoption. * Translate business challenges into clear technical approaches, considering long-term viability, security, scalability, supportability, and governance. * Help define reusable patterns, reference approaches, and practical standards for scaling AI and automation responsibly. * Identify gaps between concept, pilot, and production and help close them in a pragmatic way. * Design, prototype, and implement Agentic AI, GenAI, and automation solutions. * Contribute to architecture decisions, design documentation, testing, deployment readiness, and operational handover within Experian's AI Development Lifecycle. * Operate with attention to detail and a disciplined approach to change, incident, and problem management. * Partner with Engineering, Security, Product, Operational Excellence, and delivery teams to shape and prioritise use cases. * Provide expertise, constructive challenge, and practical support across innovation and delivery discussions. * Mentor and support develo
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