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.
