Gen AI Specialist

• Full-time
• Employee Status: Regular
• Role Type: Hybrid
• Department: Technology
• Schedule: Full Time

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. 

Job Description

• Design, develop, and deploy Generative AI applications using Amazon Bedrock and foundation models.
• Build and optimize RAG-based solutions leveraging vector search and enterprise knowledge repositories.
• Develop AI-powered assistants, copilots, and conversational applications.
• Create document ingestion, embedding, and semantic search pipelines for unstructured data.
• Design and develop scalable APIs and microservices to support AI applications.
• Evaluate, test, and optimize LLM performance for accuracy, relevance, latency, and cost efficiency.
• Collaborate with Product Managers, Architects, Designers, and business stakeholders to translate requirements into AI-driven solutions.
• Follow security, governance, and Responsible AI best practices throughout the development lifecycle.
• Stay current with emerging trends and advancements in Generative AI technologies

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4–6 years of experience in software engineering, cloud application development, or AI/ML engineering.
• Hands-on experience developing and deploying production-grade Generative AI solutions.

Technical Skills

AWS Services (Must Have)

• Amazon Bedrock (Foundation Models, Agents, Knowledge Bases)
• Amazon OpenSearch Service (Vector Search)
• Amazon S3
• AWS Lambda
• Amazon API Gateway

Generative AI & Machine Learning (Must Have)

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Embeddings and Semantic Search
• AI Model Evaluation and Optimization

Programming & Frameworks (Must Have)

• Python
• REST APIs and Microservices
• LangChain or LlamaIndex

DevOps & Engineering Practices (Must Have)

• Git-based Source Control
• CI/CD F

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. 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.

Experian Careers - Creating a better tomorrow together

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