The Job

SME - AWS IAC, Terraform,Python

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Cloud Engineering

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In short

We are seeking a skilled AWS Bedrock Engineer to design, develop, and support Generative AI and Agentic AI solutions on AWS. The role involves leveraging Amazon Bedrock, Foundation Models, RAG architectures, and AI Agents to build enterprise-grade GenAI applications, integrating with various AWS services and implementing MLOps practices.

Responsibilities

  • Design and develop enterprise GenAI applications using Amazon Bedrock.
  • Build conversational AI assistants, document intelligence, summarization, and knowledge search solutions.
  • Develop AI-powered workflows and Agentic AI use cases.
  • Integrate foundation models through Bedrock APIs.
  • Design and implement Retrieval Augmented Generation (RAG) architectures.
  • Configure and manage Knowledge Bases for Amazon Bedrock.
  • Integrate enterprise documents, SharePoint repositories, and business knowledge sources.
  • Optimize vector search and grounding mechanisms for improved accuracy.
  • Build and maintain AI Agents using Bedrock Agent capabilities.
  • Implement multi-agent orchestration and workflow automation.
  • Integrate AI Agents with ITSM tools, automation platforms, and business applications.
  • Integrate Bedrock solutions with AWS Lambda, API Gateway, S3, DynamoDB, EventBridge, and Step Functions.
  • Develop scalable and serverless GenAI architectures.
  • Implement secure API integrations and cloud-native deployments.
  • Support model lifecycle management and AI governance.
  • Monitor AI application performance, latency, and cost.
  • Implement prompt engineering standards and guardrails.
  • Ensure compliance with enterprise security and responsible AI practices.

Requirements

  • AWS Services: Amazon Bedrock, AWS Lambda, API Gateway, S3, DynamoDB, IAM, CloudWatch, Step Functions
  • AI & GenAI: Foundation Models (FM), Prompt Engineering, RAG Architecture, AI Agents, Knowledge Bases, LLM Evaluation, AI Governance
  • Development: Python, REST APIs, JSON, Git, CI/CD
  • Frameworks: LangChain, Streamlit, FastAPI

Desired Qualifications

  • Preferred Skills: AWS SageMaker, Amazon Q, Vector Databases, OpenSearch, MLOps, Kubernetes, Docker, Agentic AI Frameworks, Enterprise Automation Platforms, ServiceNow Integration
  • LangGraph (Preferred)

Benefits

  • Find your career.
  • Find your spark.
  • A place that knows that helping its customers stay on top starts by putting its people first.
  • Global technology company, home to more than 223,000 people across 60 countries.
  • Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
  • Working with clients across all major verticals: Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
#AWS#Generative AI#AI#Python#Terraform#LLM#RAG#AI Agents#Knowledge Bases#Cloud
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Company

HCLTech

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Madurai, India

Applicants

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