AWS Agentic AI Services Consultant

About the role

Infosys is looking for an experienced AWS Agentic AI Services Consultant to design, develop, and deploy autonomous AI solutions on AWS. You will work with cutting‑edge Generative AI, Large Language Models and multi‑agent architectures to enable enterprise‑scale automation.

Key responsibilities

• Design and implement Agentic AI solutions using AWS AI and Generative AI services.
• Develop autonomous AI agents with reasoning, planning, memory management and task execution capabilities.
• Build multi‑agent systems leveraging services such as Amazon Bedrock, SageMaker, Lambda, OpenSearch, DynamoDB, EventBridge and API Gateway.
• Create Retrieval‑Augmented Generation (RAG) architectures and knowledge‑based AI assistants.
• Integrate AI agents with enterprise applications, APIs, databases and business workflows.
• Define prompt‑engineering strategies, agent orchestration logic and Responsible AI practices.
• Design scalable, secure and cost‑optimized cloud architectures, including observability and governance.
• Collaborate with business stakeholders to translate AI use cases into technical solutions and participate in architecture reviews.

Required profile

• 5+ years of professional experience in cloud‑native application development, AI/ML solutions and AWS services.
• Strong background in Generative AI frameworks, Large Language Models and Agentic AI concepts.
• Hands‑on experience with AI integration patterns, microservices and event‑driven architectures.
• Relevant AWS certifications (Solutions Architect – Associate/Professional, Machine Learning Engineer) are a plus.

Required skills

• AWS Cloud (Bedrock, SageMaker, Lambda, Step Functions, API Gateway, S3, DynamoDB, OpenSearch, EventBridge)
• Generative AI, Large Language Models (LLMs), Agentic AI, Multi‑Agent Systems
• Prompt Engineering, AI Planning & Reasoning, Retrieval‑Augmented Generation (RAG), Vector Databases
• Python, JavaScript/TypeScript, REST APIs, Microservices
• DevOps & CI/CD (Git, Jenkins/GitHub Actions, Docker)
• Infrastructure as Code (Terraform or CloudFormation)
• AI Evaluation Frameworks and Responsible AI practices