Key Responsibilities:
- Lead solution architecture and technical design for Cloud and AI programs across AWS Azure or GCP
- Translate business requirements into end to end solution architectures covering application data AI ML security DevOps and operations
- Define reference architectures design standards and best practices for Cloud AI and automation
- Architect and guide delivery of AI driven solutions including AI Agents RAG pipelines LLM based systems and intelligent automation
- Drive cloud modernization and migration strategies leveraging IaC and AI led accelerators
- As a Cloud AI Architect you will lead end to end solutioning architecture and design for large scale Cloud and AI transformation programs
- You will play a key role in shaping technology strategy reference architectures and high impact AI enabled solutions while guiding teams across the SDLC
- You will collaborate with senior stakeholders to deliver scalable secure resilient and business aligned solutions
- Review designs perform architecture trade offs and risk assessments and ensure alignment with enterprise standards and well architected frameworks
- Provide technical leadership and mentoring to engineering teams enable high quality predictable delivery
- Own production outcomes with a build and own mindset ensuring reliability security and operational excellence
- Cloud Architecture
- Strong hands on and design experience with AWS Azure GCP
- Proven experience in cloud native and hybrid architectures scalability resiliency security and cost optimization
- Expertise in Well Architected Frameworks enterprise security and compliance considerations
- Infrastructure as Code DevOps
- 3 5 years of experience with Terraform IaC including modular design and testing
- Solid understanding of CI CD pipelines and DevOps practices Jenkins GitHub Harness etc
- Application Engineering
- Strong expertise in Java Spring Boot or
- NET Core architecture and design focus
- Working knowledge of Python or Go for automation and AI workloads
- AI GenAI Agentic Systems
- Hands on experience in AI Agents RAG architectures LLMOps and enterprise GenAI solutions
- Experience with agent frameworks such as LangGraph LangChain AutoGen OpenAI Agents SDK
- Experience with cloud AI platforms such as AWS Bedrock Agents Vertex AI Google ADK
- Exposure to cloud native AI services like AWS SageMaker Azure OpenAI Foundry or equivalent
Preferred Skills:
Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->Cloud Security->AWS - Infrastructure Security->AWS Firewall Manager,Technology->AI-Physical AI->Azure IoT->Azure Digital Twins,Technology->Cloud Platform->GCP Devops
