Experian
data and technology
LeadAIEngineer
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“Lead AI Engineer at Experian. Skills: AI Agents, LLM Workflows, AWS Development, Agent Orchestration. Design and build AI-driven ingestion systems. Design and build AI-driven transformation systems”
What You'll Achieve.
Production-grade AI-driven ingestion systems deployed on AWS; Production-grade AI-driven transformation systems deployed on AWS; Measurable improvement in developer productivity; High accuracy in AI-generated pipelines; Validated parity to legacy systems; Automated data quality; Automated governance with minimal manual intervention; Robust agentic workflows embedded in CI/CD pipelines
Industry & Context.
Autonomous data pipelines; Self-healing pipelines; Auto-correction of data issues; Anomaly detection
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 build AI-driven ingestion systems
Design and build AI-driven transformation systems
Leverage LLMs for development acceleration
Build production-grade AI agents
Interpret specifications
Continuously improve through feedback loops
Design and implement AI agents for data engineering
Build multi-step agent orchestration pipelines
Develop autonomous systems
Reverse engineer legacy pipelines
Generate cloud-native equivalents
Leverage AI tools to accelerate development
Build feedback loops for self-healing pipelines
Integrate LLMs for schema inference
Integrate LLMs for transformation logic generation
Integrate LLMs for anomaly detection
Build scalable pipelines on AWS
Deploy and manage agentic workloads
Design systems combining event-driven architectures
Develop AI-driven ingestion frameworks
Implement automated data validation
Implement automated data reconciliation
Implement automated lineage tracking
Ensure parity with legacy systems
Embed agentic workflows into CI/CD pipelines
Automate testing using LLM-generated cases
Integrate security scanning
Implement AI-powered data quality monitoring
Implement AI-powered lineage monitoring
Implement AI-powered compliance monitoring
Build intelligent dashboards
Enable proactive detection of data issues
How You'll Work.
Team & Collaboration
Partner with Product teams; Partner with Architecture teams; Partner with AI teams; Work closely with legacy system experts; Collaborate with AI/ML Engineers; Collaborate with Data Stewards; Collaborate with DevSecOps
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
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