Gen AI Specialist

Posted 11 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Big Data • Marketing Tech • Analytics
The Role
Design, develop, and deploy generative AI applications using Amazon Bedrock and foundation models. Build RAG solutions with vector search, create ingestion and embedding pipelines, develop AI assistants and scalable APIs, evaluate LLM performance, and follow security, governance, and Responsible AI practices while collaborating with cross-functional stakeholders.
Summary Generated by Built In
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

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

Skills Required

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
  • 4-6 years experience in software engineering, cloud application development, or AI/ML engineering
  • Hands-on experience developing and deploying production-grade Generative AI solutions
  • Experience with Amazon Bedrock (foundation models, agents, knowledge bases)
  • Experience with Amazon OpenSearch Service for vector search
  • Experience with Amazon S3
  • Experience with AWS Lambda
  • Experience with Amazon API Gateway
  • Expertise in Large Language Models (LLMs) and prompt engineering
  • Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
  • Knowledge of vector embeddings and semantic search
  • AI model evaluation and optimization skills
  • Proficiency in Python
  • Experience building REST APIs and microservices
  • Experience with LangChain or LlamaIndex
  • Git-based source control experience
  • CI/CD experience

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Dublin
16,292 Employees
Year Founded: 1980

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.

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