AWS AI Engineer

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Problem solving","Cross-functional collaboration","Technical leadership"]

Design, develop, and deploy enterprise AI applications on AWS, including Generative AI, conversational/assistant, and agentic AI solutions. Build RAG architectures from enterprise knowledge sources, integrate LLM capabilities into business systems, and optimize performance and cost. Own cloud-native API/microservice development, implement CI/CD with MLOps/LLMOps practices, and ensure security, reliability, and observability while collaborating with architects, stakeholders, and engineering teams.

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FursaFursa
NTT
NTT
3 weeks ago

AWS AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design, develop, and deploy enterprise AI applications on AWS, including Generative AI, conversational/assistant, and agentic AI solutions. Build RAG architectures from enterprise knowledge sources, integrate LLM capabilities into business systems, and optimize performance and cost. Own cloud-native API/microservice development, implement CI/CD with MLOps/LLMOps practices, and ensure security, reliability, and observability while collaborating with architects, stakeholders, and engineering teams.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy enterprise AI applications using AWS services and modern AI frameworks.
  • •Build Generative AI, conversational AI, AI assistants, and agentic AI solutions, including RAG and multi-agent orchestration.
  • •Develop and integrate AI-powered APIs/microservices and reusable AI frameworks with enterprise systems and data platforms.
  • •Optimize AI solutions for latency, throughput, scalability, and operational efficiency, including model optimization techniques and GPU utilization.
  • •Implement CI/CD, MLOps/LLMOps processes, and production operations for enterprise AI solutions, ensuring security, compliance, and observability.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
  • •5+ years of software engineering or application development experience.
  • •2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • •Strong proficiency in Python and modern software engineering practices.
  • •Experience building cloud-native applications on AWS and deploying/managing AI workloads in production.
Experience:5+ yearsGenerative AILLMsCloud-nativeEnterprise applications
Education:Bachelor's in Computer Science, Engineering, Information Technology, Data Science (or related)
Skills:CommunicationStakeholder managementProblem solvingCross-functional collaborationTechnical leadership
Certifications:AWS Certified
Tech Stack:PythonAWSAmazon BedrockAmazon SageMakerAmazon QOpenSearchLambdaECSEKSLLMsGenerative AIAgentic AIRetrieval Augmented Generation (RAG)CI/CDMLOpsLLMOpsDockerKubernetesAPIsMicroservices

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn