Description

You will design and build enterprise AI platforms, including RAG solutions and Agentic AI applications, using AWS services.

This role is on-site.

Responsibilities

• Architect and integrate AI solutions leveraging Amazon Bedrock, SageMaker, vector databases, and semantic search.
• Develop scalable cloud-native AI architectures and support infrastructure automation using AWS and Terraform.
• Establish AI governance, security controls, monitoring, and Responsible AI practices for compliance.
• Build reusable AI integration frameworks, APIs, and multi-agent workflows.
• Collaborate with cloud, security, and data teams to deploy AI use cases across the enterprise.

Required Skills

• 10–15 years of experience in Cloud or Platform Engineering.
• 4+ years in AI/ML and Generative AI solutions.
• Strong expertise in AWS cloud services, Amazon Bedrock, and SageMaker.
• Experience with RAG architectures, AI Agents, LangChain, and LangGraph.
• Proficiency in Terraform and CI/CD best practices.
• Bachelor’s degree in Computer Science, IT, Engineering, or a related technical field.

Preferred Skills

• Experience leading cross-functional AI initiatives in large enterprise environments.
• Proven track record in enterprise AI platform development and mentoring teams.

Key Skills

Education

Any Graduate