Multi-Cloud Solutions Architect Mandatory Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. 10+ years of overall IT experience. Minimum 6 years of hands-on experience designing and implementing production Cloud IaaS/PaaS solutions. Proven experience working with enterprise banking or financial services customers is highly preferred.

Technical Expertise

Deep expertise in Oracle Cloud Infrastructure (OCI). Strong experience with AWS, Microsoft Azure, and/or Google Cloud Platform.

Experience designing hybrid and multi-cloud architectures. Strong knowledge of enterprise networking including OCI FastConnect, VPN, identity federation, and cloud security. Hands-on expertise with: OCI Generative AI Service Dedicated AI Clusters Oracle AI Vector Search Select AI Autonomous Database AutoML Strong understanding of Multi-Agent AI design patterns including: Hierarchical orchestration Supervisor-worker architecture Autonomous reflection State machines Consensus protocols Experience with orchestration frameworks such as: LangGraph CrewAI AutoGen LlamaIndex Advanced database expertise including: Oracle RAC Exadata Cloud Service (ExaCS) Exadata Cloud@Customer (ExaCC) Autonomous Database (ADB/ADW) PostgreSQL MySQL Snowflake Solid DevOps and automation skills using: Terraform (OCI Provider) Ansible Kubernetes (OKE) Python Jenkins or GitLab CI/CD Communication Excellent verbal and written English communication skills.

Ability to present complex technical architectures to executive stakeholders. Strong documentation and customer-facing consulting skills.

Certifications Minimum two certifications from the following:



Oracle OCI Architect Professional OCI Generative AI Professional OCI Multicloud Architect OCI Migration Architect Hyperscaler AWS Certified Solutions Architect – Professional Microsoft Certified: Azure Solutions Architect Expert Google Cloud Professional Cloud Architect Good-to-Have Experience designing AI governance frameworks within regulated industries. Knowledge of financial compliance standards including PCI DSS, GDPR, ISO 27001, and banking regulatory requirements.

Experience implementing Cloud FinOps strategies for AI workloads. Exposure to Graph databases, Knowledge Graphs, and GraphRAG architectures. Familiarity with enterprise AI governance, responsible AI practices, and model lifecycle management.

Experience leading customer workshops, architecture reviews, and executive presentations.

Oracle

Consulting or Customer Success Services experience. Self-Assessment Questions Before applying, ask yourself: Have I designed and delivered enterprise-grade hybrid or multi-cloud architectures integrating OCI with AWS, Azure, or GCP? Do I possess hands-on experience with Oracle Generative AI, Autonomous Database, Oracle AI Vector Search, or enterprise RAG architectures?

Have I architected or implemented Multi-Agent AI systems using frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex? Have I successfully led large-scale Oracle database modernization or migration projects involving RAC, Exadata, Autonomous Database, or Data Guard? Do I have the technical leadership, customer consulting, and executive communication skills required to influence architecture decisions within highly regulated financial institutions?

📌 Multi-Cloud Solutions Architect (Chennai)
🏢 Oracle Financial Services Software
📍 Chennai