via Career pages·Today
Cloud + AI Architect
Infosys
Full-timeOn-site
Location:Bangalore, IndiaType:Full-timePosted:Today
- 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
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