Lead AI Engineer

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 anAI-Native Developer with deep expertise in buildingagentic systems, LLM-powered workflows, and autonomous data pipelines on AWS.

This role goes beyond traditional data engineering — you will design and buildAI-driven ingestion and transformation systems, leveragingLLMs, code-generation agents, and orchestration frameworks to accelerate development, improve reliability, and reduce manual effort.

You will work extensively with tools likeClaude Code, Cursor, and AWS AgentCore, and will be responsible for buildingproduction-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 implementAI agents for data engineering workflows (spec parsing, code generation, validation, reconciliation).
• Build multi-stepagent orchestration pipelines using LLMs and tool integrations.
• Develop autonomous systems capable ofreverse engineering legacy pipelines and generating cloud-native equivalents.

AI-Augmented Engineering

• LeverageClaude Code, Cursor, and similar tools to accelerate development cycles.
• Build feedback loops forself-healing pipelines and auto-correction of data issues.
• Integrate LLMs forschema inference, transformation logic generation, and anomaly detection.

AWS-Native Development

• Build scalable pipelines usingS3, Glue, Lambda, DynamoDB, EventBridge, and streaming services (MSK/SQS).
• Work withAWS AgentCore (or equivalent frameworks) to deploy and manage agentic workloads.
• Design systems that combineevent-driven architectures with AI decision layers.

Intelligent Ingestion & Transformation

• DevelopAI-driven ingestion frameworks supporting batch and near real-time processing.
• Implement automateddata validation, reconciliation, and lineage tracking using AI agents.
• Ensure parity with legacy systems usingAI-assisted validation techniques.

CI/CD & AI Integration

• Embed agentic workflows intoCI/CD pipelines (Jenkins/Harness).
• Automate testing usingLLM-generated test cases and validation strategies.
• Integrate security scanning (SonarQube, Veracode) with AI-assisted remediation suggestions.

Data Governance & Control (AI-Enhanced)

• ImplementAI-powered data quality, lineage, and compliance monitoring.
• Buildintelligent dashboards with automated evidence generation.
• Enable proactive detection of data issues using anomaly detection agents.

Collaboration & Innovation

• Partner with Product, Architecture, and AI teams to defineagentic engineering standards.
• Work closely with legacy system experts to translate logic intoAI-understandable specifications.
• Contribute to building anAI-first engineering culture within the organization.

Core AI & Agentic Development

• 5+ years of overall experience
• Experience buildingAI agents / agentic workflows (multi-step reasoning, tool use, orchestration).
• Hands-on experience withClaude Code, Cursor, or similar AI coding environments.
• Experience withAWS AgentCore or equivalent agent orchestration frameworks.
• Understanding ofprompt engineering, evaluation, and LLM optimization techniques.

Programming & Data Engineering

• Python (advanced), PySpark
• Strong experience indata pipeline design and distributed processing

AWS & Cloud

• S3, Glue, Lambda, DynamoDB, EventBridge, MSK/SQS
• Experience buildingevent-driven and serverless architectures

DevOps & Automation

• Jenkins/Harness, Bitbucket
• SonarQube, Veracode
• Experience integratingAI into CI/CD workflows

Data Governance & Security

• Data quality frameworks, lineage tracking
• IAM, encryption, secure configuration

Core Outcomes & Success Metrics

• Production-gradeAI-driven ingestion and transformation systems deployed on AWS
• Measurable improvement indeveloper productivity through AI-assisted engineering
• High accuracy inAI-generated pipelines with validated parity to legacy systems
• Automateddata quality and governance with minimal manual intervention
• Robustagentic workflows embedded in CI/CD pipelines

Stakeholder Interactions

• Engineering Leadership: Technical direction and innovation
• Product Owners & BAs: Requirements and prioritization
• AI/ML Engineers: Agent design and optimization
• Data Stewards: Governance validation
• DevSecOps: Secure and scalable deployment

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.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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.

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here