Multi-Cloud Solutions Architect

Mandatory

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

Strong 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?

Architect secure, scalable, and resilient multi-cloud solutions integrating OCI with AWS, Azure, and GCP for enterprise banking environments.

Design enterprise-grade Multi-Agent AI architectures including supervisor-worker models, agent governance, communication protocols, state management, deterministic guardrails, and Human-in-the-Loop (HITL) workflows.

Lead implementation of Retrieval-Augmented Generation (RAG) and GraphRAG solutions using Oracle AI Vector Search, Select AI, Autonomous Database, and OCI Generative AI services.

Design secure AI environments utilizing OCI Generative AI, Dedicated AI Clusters, Llama, Cohere, and zero-trust security principles to meet financial industry compliance requirements.

Architect resilient cross-cloud networking using OCI FastConnect, VPNs, unified identity federation (SAML), and secure data exchange across OCI, AWS Bedrock, and Azure OpenAI environments.

Lead large-scale enterprise database modernization initiatives involving Oracle RAC, Exadata Cloud Service (ExaCS), Exadata Cloud@Customer (ExaCC), Autonomous Database, Data Guard, and enterprise migration strategies.

Serve as the highest level of technical escalation for complex customer engagements, providing architectural governance, cloud cost optimization (FinOps), and best practices for AI compute and token consumption.

Collaborate with customers, Oracle engineering, and cross-functional teams to deliver innovative, secure, and compliant cloud solutions while communicating technical strategies effectively to executive stakeholders.

Career Level - N/A