AWS Agentic AI Services

We are seeking an experiencedAWS Agentic AI Services Consultantwith 5 years of professional experience in cloud-native application development AI/ML solutions and AWS services. The ideal candidate will design develop and deployAgentic AI solutionsleveraging AWS AI/ML and Generative AI services enabling autonomous workflows intelligent agents multi-agent orchestration and enterprise-scale AI automation.

This role requires hands-on expertise in AWS cloud services Generative AI frameworks Large Language Models (LLMs) AI agents and enterprise integration patterns.

• Design and implementAgentic AI solutionsusing AWS AI and Generative AI services.
• Develop autonomous AI agents capable of reasoning planning memory management and task execution.
• Build multi-agent systems leveraging AWS services such as:
  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • Amazon OpenSearch
  • Amazon DynamoDB
  • Amazon EventBridge
  • Amazon API Gateway
• Create Retrieval Augmented Generation (RAG) architectures and knowledge-based AI assistants.
• Integrate AI agents with enterprise applications APIs databases and business workflows.
• Develop prompt engineering strategies and agent orchestration logic.
• Design scalable secure and cost-optimized cloud architectures.
• Define observability monitoring governance and Responsible AI practices.
• Collaborate with business stakeholders to translate AI use cases into technical solutions.
• Participate in architecture reviews solution design workshops and technical leadership activities.

• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda
• AWS Step Functions
• Amazon API Gateway
• Amazon S3
• Amazon DynamoDB
• Amazon OpenSearch Service
• Event-driven architectures on AWS

• Large Language Models (LLMs)
• Agentic AI concepts and architectures
• Multi-Agent Systems
• Prompt Engineering
• AI Planning and Reasoning
• Retrieval Augmented Generation (RAG)
• Vector Databases
• AI Evaluation Frameworks

• Python
• JavaScript / TypeScript
• REST APIs
• Microservices

• Git
• Jenkins / GitHub Actions
• Docker
• Infrastructure as Code (Terraform or CloudFormation)

• AWS Certified Solutions Architect Associate/Professional
• AWS Certified Machine Learning Engineer
• Hands-on experience with:
  • LangGraph
  • LangChain
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • Amazon Bedrock Agents
• Experience implementing enterprise AI governance and security controls.
• Experience with GenAI use cases such as:
  • Virtual Assistants
  • IT Service Automation
  • Knowledge Management
  • Customer Support Automation
  • AI-powered Software Development

• Experience with ServiceNow AI capabilities.
• Knowledge of MCP (Model Context Protocol).
• Experience building AI copilots and enterprise search solutions.
• Knowledge of Responsible AI and AI Risk Management frameworks.

• Bachelors degree in Computer Science Information Technology Engineering or related field.
• Masters degree preferred.

• Strong problem-solving and analytical skills.
• Architecture and consulting mindset.
• Client-facing communication skills.
• Ability to lead technical discussions and mentor junior team members.
• Strong understanding of enterprise application integration patterns.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.