Description

You will design and implement enterprise AI platforms, RAG solutions, and Agentic AI applications on AWS.

This role is on-site.

Responsibilities

• Architect scalable cloud-native AI solutions using Amazon Bedrock, SageMaker, vector databases, and semantic search.
• Develop infrastructure automation and CI/CD pipelines using AWS and Terraform.
• Build reusable AI integration frameworks, APIs, and multi-agent workflows.
• Establish AI governance, security controls, monitoring, and Responsible AI practices.
• Collaborate with cross-functional teams to deploy AI use cases and mentor engineering teams.

Required Skills

• 10+ years of experience in Cloud or Platform Engineering, with 4+ years in AI/ML.
• Strong expertise in AWS services, Amazon Bedrock, and SageMaker.
• Hands-on experience with RAG architectures, AI Agents, LangChain, and LangGraph.
• Proficiency in infrastructure-as-code using Terraform.
• Ability to design secure, scalable enterprise AI integrations.
• Bachelor’s degree in Computer Science, Engineering, or related technical field.

Preferred Skills

• Experience with enterprise knowledge repositories and data engineering.
• Proven track record leading cross-functional AI initiatives in large enterprises.

Key Skills

Education

Any Graduate