Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
Check out Experian Life on social or explore our Careers Site (experian.com/careers) to understand why.
Job Description- Take a technical leadership role within development teams, solving complex engineering challenges and influencing system architecture and design - including AI/ML-integrated and GenAI-enabled systems.
- Lead the end-to-end development lifecycle, including analysis, architecture, implementation, testing, and deployment of scalable GenAI solutions.
- Design and prototype agentic workflows, LLM integrations, and AI-assisted tooling to accelerate engineering and outcomes.
- Collaborate with Product, QA, UX, and DevOps teams to ensure cohesive planning and delivery of features.
- Define and help accomplish the technical strategy for product development, including recommending appropriate technologies.
- Ensure development work follows Agile principles and practices, contributing to ceremonies, backlog refinement, and cross-team coordination.
- Participate in code reviews, technical discussions, and knowledge-sharing sessions to raise the engineering bar within the team.
- You will report to a Senior Director
- You will have to work from office 2 days a week as its a hybrid working
- We require you to have 5–8 years of software engineering experience with backend development using Python/Spark/Scala/Java/Spring Boot;
- 3+ years of experience building AI-integrated or LLM-backed services is a strong plus
- 3+ years of experience building cloud-native systems on AWS (Lambda, ECS, S3, API Gateway), including hosting and scaling GenAI inference workloads
- Experience designing scalable, maintainable, and secure software architectures, including RAG pipelines, vector stores, and multi-agent orchestration patterns
- Working knowledge of DevSecOps practices: CI/CD pipelines, Docker, and infrastructure-as-code; familiarity with MLOps or AI deployment workflows.
- Hands-on experience with microservices, RESTful APIs, and messaging systems (Kafka, SQS); experience integrating LLM APIs or MCP-based tooling
- Practical experience with Generative AI concepts and tools — including prompt engineering, agentic frameworks, and responsible AI principles
Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
#LI-Hybrid
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- 5-8 years of software engineering experience with backend development using Python, Spark, Scala, Java, Spring Boot
- 3+ years experience building AI-integrated or LLM-backed services
- 3+ years building cloud-native systems on AWS (Lambda, ECS, S3, API Gateway) including hosting and scaling GenAI inference workloads
- Experience designing scalable, maintainable, and secure architectures including RAG pipelines, vector stores, and multi-agent orchestration
- Working knowledge of DevSecOps practices: CI/CD pipelines, Docker, infrastructure-as-code; familiarity with MLOps/AI deployment workflows
- Hands-on experience with microservices, RESTful APIs, and messaging systems (Kafka, SQS); experience integrating LLM APIs or MCP tooling
- Practical experience with Generative AI concepts and tools, including prompt engineering, agentic frameworks, and responsible AI principles
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
