Experian
data and technology
LeadAIEngineer
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Lead AI Engineer at Experian. Skills: AI Agents, LLM, AWS, Data Pipelines. Design and implement AI agents for data engineering workflows. Build multi-step agent orchestration pipelines”
What You'll Achieve.
Production-grade AI-driven ingestion and transformation systems deployed on AWS; Measurable improvement in developer productivity through AI-assisted engineering; High accuracy in AI-generated pipelines with validated parity to legacy systems; Automated data quality and governance with minimal manual intervention; Robust agentic workflows embedded in CI/CD pipelines
Industry & Context.
Auto-correction of data issues; Proactive detection of data issues
What They're Looking For.
Must Have
5+ years of overall experience, Experience building AI agents / agentic workflows, Hands-on experience with Claude Code, Cursor, or similar AI coding environments, Experience with AWS AgentCore or equivalent agent orchestration frameworks, Understanding of prompt engineering, evaluation, and LLM optimization techniques, Python (advanced), PySpark experience in data pipeline design and distributed processing, AWS (S3, Glue, Lambda, DynamoDB, EventBridge, MSK/SQS), Experience building event-driven and serverless architectures, Jenkins/Harness, Bitbucket, SonarQube, Veracode, Experience integrating AI into CI/CD workflows, Data quality frameworks, Lineage tracking, IAM, Encryption, Secure configuration
Nice to Have
Kubernetes a plus
What You'll Do.
Design and implement AI agents for data engineering workflows
Build multi-step agent orchestration pipelines
Develop autonomous systems for legacy pipeline reverse engineering
Leverage AI tools to accelerate development cycles
Build feedback loops for self-healing pipelines
Integrate LLMs for schema inference and transformation logic
Build scalable pipelines using AWS services
Work with AWS AgentCore to deploy agentic workloads
Design systems combining event-driven architectures with AI
Develop AI-driven ingestion frameworks
Implement automated data validation and reconciliation
Ensure parity with legacy systems using AI-assisted validation
Embed agentic workflows into CI/CD pipelines
Automate testing using LLM-generated test cases
Integrate security scanning with AI-assisted remediation
Implement AI-powered data quality monitoring
Build intelligent dashboards with automated evidence generation
Enable proactive detection of data issues
How You'll Work.
Team & Collaboration
Partner with Product, Architecture, and AI teams; Work closely with legacy system experts; Contribute to building an AI-first engineering culture
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. We are looking for an AI-Native Developer with deep expertise in building agentic systems, LLM-powered workflows, and autonomous data pipelines on AWS. This role goes beyond traditional data engineering — you will design and build AI-driven ingestion and transformation systems , leveraging LLMs, code-generation agents, and orchestration frameworks to accelerate development, improve reliability, and reduce manual effort. You will work extensively with tools like Claude Code, Cursor, and AWS AgentCore , and will be responsible for building production-grade AI agents that can interpret specifications, generate pipelines, validate outputs, and continuously improve through feedback loops. Agentic System Design & Development * You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering * Design and implement AI agents for data engineering workflows (spec parsing, code generation, validation, reconciliation). * Build multi-step agent orchestration pipelines using LLMs and tool integrations. * Develop autonomous systems capable of reverse engineering legacy pipelines and generating clo
Applying for this Lead AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Experian?
Real rants from real employees. Read before you apply.