Cloud + AI Architect

* 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.