Description

Job Responsibilities include:

Lead the design, development, and implementation of enterprise AI platforms, Retrieval-Augmented Generation (RAG) solutions, and Agentic AI applications using AWS services.

Architect and integrate AI solutions leveraging Amazon Bedrock, SageMaker, vector databases, semantic search, and enterprise knowledge repositories.

Develop scalable cloud-native AI architectures and support infrastructure automation using AWS, Terraform, and CI/CD best practices.

Collaborate with cloud, security, networking, data engineering, and application teams to onboard and deploy AI use cases across the enterprise.

Establish AI governance, security controls, monitoring, guardrails, and Responsible AI practices to ensure compliance and operational excellence.

Build reusable AI integration frameworks, APIs, and multi-agent workflows while mentoring teams and driving enterprise AI adoption and innovation.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related technical field.

10–15 years of experience in Cloud Engineering, Platform Engineering, Enterprise Architecture, or related disciplines, including 4+ years in AI/ML and Generative AI solutions.

Strong expertise in AWS cloud services, Amazon Bedrock, SageMaker, RAG architectures, AI Agents, LangChain/LangGraph, and enterprise AI platform development.

Proven experience designing scalable AI integrations, implementing AI governance and security controls, and leading cross-functional AI initiatives in large enterprise environments

Key Skills

Education

Any Graduate