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 / Gen

AI & Agentic Systems:

• Hands-on experience in AI Agents, RAG architectures, LLMOps, and enterprise GenAI solutions.
• Experience with agent frameworks such as Lang Graph, Lang Chain, Auto Gen, 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 Sage Maker, Azure OpenAI, Foundry, or equivalent.

Education: Master Of Comp. Applications,Master Of Technology,Bachelor Of Comp. Applications,Bachelor of Comp. Sc. & Engg.,Bachelor of Engineering,Bachelor Of Technology

Preferred skills: Technology->AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->Cloud Security->AWS - Infrastructure Security->AWS Firewall Manager,Technology->Physical AI->Azure IoT->Azure Digital Twins,Technology->Cloud Platform->GCP Devops