AI Engineer - AWS Bedrock
Skills
About the role
Job Information
Department Name
Insurance
Date Opened
03/16/2026
Industry
Insurance
Job Type
Full time
Skills
Software Development
Work Experience
4-5 years
Required Skills
python programming
enterprise architecture
+28
Role Type
Advisory Application Developer
City
Siruseri, Chennai
State/Province
Tamilnadu
Country
India
Zip/Postal Code
603103
About Us
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Why Kumaran?
We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.
Job Description
The Mid-Senior Applied AI Engineer is responsible for designing, developing, and deploying scalable artificial intelligence solutions within an enterprise AI platform.
Moving beyond basic implementation, this role requires architectural thinking to build robust GenAI services, complex retrieval pipelines (RAG), and agentic workflows.
The engineer will partner closely with AI Program Management, Data & Analytics, and business stakeholders to translate validated business requirements into secure, production-ready AI applications.
Requirements
Strong hands-on experience in Generative AI, LLMs, Agentic AI, NLP, and AI workflow development using Amazon Bedrock
Expertise in building RAG-based AI solutions with Amazon Bedrock Knowledge Bases, embeddings, vector retrieval, grounding, and citation strategies
Experience developing intelligent document processing solutions using Amazon Textract, OCR workflows, summarization, classification, extraction, and business Q&A systems
Proficient in prompt engineering, AI guardrails, hallucination mitigation, responsible AI practices, and implementing human-in-the-loop AI workflows
Strong Python programming skills with experience integrating AI solutions using AWS services such as Lambda, S3, Step Functions, EventBridge, SQS, IAM, Secrets Manager, and CloudWatch
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