AWS Artificial Intelligence Engineer

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd in Bengaluru seeks an AWS AI Engineer to design, build and deploy enterprise AI applications on AWS, including Generative AI and LLMs, to deliver scalable, secure solutions.

You will collaborate with architects and data scientists, implement MLOps, and optimize AI workloads for performance and cost, aligning AI capabilities with business goals.

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, Data Science or related field.
• 5+ years of software engineering or application development experience.
• 2+ years hands-on experience developing AI, ML or Generative AI solutions.
• Strong proficiency in Python and modern software engineering practices.
• Experience building cloud native applications on AWS.
• Experience integrating LLMs and Generative AI into enterprise apps.
• Experience deploying and managing AI workloads in production.

Responsibilities

• Design, develop, and deploy enterprise AI applications using AWS services and modern AI frameworks.
• Build Generative AI, Conversational AI, AI Assistant, and Agentic AI solutions.
• Translate business requirements into scalable, resilient, and secure AI applications.
• Develop reusable AI frameworks, APIs, integration services, and accelerators.
• Collaborate with architects and stakeholders to deliver AI-driven outcomes.
• Design and implement Retrieval Augmented Generation (RAG) architectures using enterprise knowledge sources.
• Develop AI agents and multi-agent orchestration workflows.
• Implement prompt engineering, context management, memory patterns and evaluation frameworks.

Skills

Python

AWS

LLMs

Generative AI

APIs

Microservices

MLOps

Education

Bachelor's degree in CS/Engineering/IT/Data Science

Tools

Docker

Kubernetes

AWS Bedrock

SageMaker

OpenSearch

Job description

AWS AI Engineer Req ID: 386208 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a AWS AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN). We are seeking an experienced AI Engineer / Developer to develop, deploy, and optimize enterprise grade AI solutions using AWS cloud technologies, Generative AI, Large Language Models (LLMs), Agentic AI and intelligent automation capabilities.

Key Responsibilities

• Design, develop, and deploy enterprise AI applications using AWS services and modern AI frameworks.
• Build Generative AI, Conversational AI, AI Assistant, and Agentic AI solutions.
• Translate business requirements into scalable, resilient, and secure AI applications.
• Develop reusable AI frameworks, APIs, integration services, and accelerators.
• Collaborate with architects and business stakeholders to deliver AI driven business outcomes.

Generative AI & Agentic AI Development

• Build applications leveraging foundation models and Large Language Models (LLMs).
• Design and implement Retrieval Augmented Generation (RAG) architectures using enterprise knowledge sources.
• Develop AI agents and multi agent orchestration workflows.
• Implement prompt engineering, context management, memory patterns and evaluation frameworks.
• Evaluate and integrate commercial and open source models based on performance, cost, scalability, and security requirements.
• Develop AI powered assistants capable of automating business processes and decision‑making workflows.

AWS AI & Cloud Development

• Design and develop AI solutions leveraging Amazon Bedrock, Amazon SageMaker, Amazon Q, OpenSearch, Lambda, ECS, EKS and related AWS services.
• Develop cloud native AI applications utilizing serverless and container based architectures.
• Build scalable APIs and microservices supporting AI workloads.
• Integrate AI solutions with enterprise applications, business systems and data platforms.
• Ensure high availability, security, reliability, observability and operational excellence.

Intelligent Automation & Business Process Integration

• Design AI powered workflow automation solutions integrating AWS AI capabilities with enterprise systems.
• Build intelligent process automation solutions leveraging AI services, APIs and workflow orchestration tools.
• Integrate AI capabilities into business applications to improve operational efficiency and employee productivity.
• Develop reusable automation frameworks and enterprise integration patterns.

Open Source AI & Model Engineering

• Deploy and optimize open source foundation models including Llama, Mistral and similar models.
• Fine tune foundation models for business specific use cases.
• Build and manage model serving and inference environments.
• Support model lifecycle management, governance, monitoring, testing and version control.

Model Optimization & Performance Engineering

• Optimize AI solutions for latency, throughput, scalability and operational efficiency.
• Apply quantization, model compression, distillation, pruning and inference optimization techniques.
• Optimize GPU utilization and infrastructure performance.
• Design cost efficient AI architectures balancing performance, business value and cloud spend.
• Monitor AI applications and continuously improve model effectiveness and reliability.

DevOps, MLOps & AI Operations

• Implement CI/CD pipelines supporting AI application delivery.
• Build MLOps and LLMOps processes for model deployment, testing, monitoring and governance.
• Support production operations and troubleshooting of enterprise AI solutions.
• Ensure compliance with security, Responsible AI and enterprise governance standards.

Collaboration & Technical Leadership

• Collaborate with AI Architects, Data Scientists, Product Owners, Developers and Business Stakeholders.
• Participate in solution design, architecture reviews and code reviews.
• Mentor junior engineers and promote AI engineering best practices.
• Stay current with emerging AI technologies, tools, frameworks and industry trends.
• Support client demonstrations, workshops, technical proposals and innovation initiatives.

Required Qualifications

• 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.
• Strong understanding of API development, microservices, distributed systems and cloud architectures.
• Experience integrating LLMs and Generative AI capabilities into enterprise applications.
• Experience deploying and managing AI workloads in production environments.
• Strong communication, stakeholder management and problem solving skills.

Preferred Qualifications

• Master's degree in Artificial Intelligence, Computer Science, Data Science or related discipline.
• AWS Certified and Experience with Amazon Bedrock and Amazon Q.
• Experience with MLOps, LLMOps and AI platform engineering.
• Experience deploying containerized workloads using Docker and Kubernetes.
• Experience working on enterprise scale AI transformation programs.
• Experience in customer facing consulting or solution delivery roles.

Key Competencies

• AI Application Development
• Generative AI Engineering
• AWS Cloud Development
• Problem Solving & Innovation
• Agile Development Practices
• Cross Functional Collaboration
• Technical Leadership
• Client & Stakeholder Management
• AI Platform Engineering
• Delivery Excellence

Ideal Candidate Profile

A successful candidate is a hands on Senior AI Engineer who can take AI solutions from concept to production. They possess strong expertise in AWS AI services, Amazon Bedrock, Amazon Q, Generative AI, Open Source LLMs, Agentic AI and cloud native application development, while demonstrating the ability to build secure, scalable high performance AI solutions that drive tangible business outcomes.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centres and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centres as well as established and start‑up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.