Product Architect Lead Oracle Cloud Infrastructure

Title: Product Architect Lead Oracle Cloud Infrastructure (OCI) Consultant

Arrangement: Hybrid 3 days onsite. Must be in-office Tuesday and Wednesday. The other in-office day can be either Monday or Thursday. 

Must-have skills: Oracle Cloud Infrastructure (OCI) environments supporting advanced analytics, Artificial Intelligence (AI)I/Machine Learning (ML), and digital transformation initiatives
Hybrid engagement (3 days a week on-site, which include Tuesday and Wednesday)

Lead Technical Architect – Oracle Cloud Infrastructure (OCI) Consultant

Position Summary

The Lead Technical Architect (Oracle Cloud Infrastructure) Consultant is responsible for leading the architecture, setup, configuration, governance, and operationalization of enterprise-scale Oracle Cloud Infrastructure (OCI) environments supporting advanced analytics, Artificial Intelligence (AI)I/Machine Learning (ML), and digital transformation initiatives. This role will provide technical leadership for the design and implementation of secure, scalable, resilient, and high-performing cloud platforms enabling enterprise data, analytics, and AI use cases.

The consultant will partner with enterprise architecture, infrastructure, cybersecurity, application development, analytics, and business stakeholders to establish OCI foundational services, cloud governance, DevSecOps automation, AI/ML infrastructure, and operational best practices aligned with enterprise standards and strategic objectives.

This position requires deep expertise in Oracle Cloud Infrastructure, cloud-native architecture, AI/ML platforms, automation, security, and enterprise integration patterns.

Key Responsibilities

Lead the design, setup, configuration, and deployment of enterprise Oracle Cloud Infrastructure (OCI) environments supporting analytics, AI/ML, and enterprise transformation initiatives.

Define and implement OCI landing zones, tenancy architecture, compartment strategy, identity and access management, security zones, monitoring, logging, and governance frameworks.

Architect and implement scalable, resilient, secure, and cost-effective OCI infrastructure advanced analytics solutions across development, testing, staging, and production environments.

Establish enterprise cloud architecture standards, patterns, and best practices for OCI advanced analytics (AI/ML) services and cloud-native solutions.

Design and implement enterprise AI/ML infrastructure to support data science, machine learning, and generative AI initiatives.

Configure and support Oracle AI and analytics platforms including Oracle AI Data Platform (AIDP), Oracle Analytics Cloud (OAC), Autonomous Data Warehouse (ADW), Oracle Integration Cloud (OIC), Oracle Generative AI, and related Oracle services.

Develop and optimize DevSecOps automation processes including Infrastructure as Code (IaC), CI/CD pipelines, automated provisioning, monitoring, and deployment automation.

Collaborate with cybersecurity teams to ensure OCI environments comply with enterprise security policies, governance standards, and regulatory requirements.

Collaborate with Oracle cloud networking architecture team on VCNs, subnets, routing, load balancers, VPN connectivity, FastConnect, security lists, and hybrid cloud integration.

Establish operational procedures for backup/recovery, disaster recovery, high availability, monitoring, patching, and performance optimization.

Provide technical leadership and guidance to infrastructure engineers, cloud administrators, developers, data engineers, and analytics teams.

Conduct architecture reviews and provide recommendations for cloud optimization, modernization, scalability, and operational efficiency.

Develop technical roadmaps and implementation strategies supporting enterprise analytics and AI transformation objectives.

Create and maintain architecture documentation, standards, technical diagrams, operational procedures, and implementation playbooks.

Support enterprise AI, analytics, and digital transformation projects as needed.

Provide technical review reports, risk assessments, and recommendations to leadership and project stakeholders.

Evaluate emerging Oracle Cloud, AI/ML, and cloud-native technologies and recommend adoption strategies aligned with business goals.

Required Qualifications

Ten or more years of IT experience with at least five years of hands-on cloud architecture and infrastructure experience.

Minimum three years of direct Oracle Cloud Infrastructure (OCI) experience in enterprise environments.

Demonstrated experience designing and implementing enterprise-scale OCI infrastructure solutions.

Strong experience with:

Oracle Cloud Infrastructure (OCI)

Oracle AI Data Platform (AIDP)

Oracle Analytics Cloud (OAC)

Oracle Autonomous Data Warehouse (ADW)

Identity and Access Management (IAM)

OCI networking and security architecture

Infrastructure as Code (Terraform or OCI Resource Manager)

CI/CD and DevSecOps automation

Python scripting and automation

AI/ML platform deployment and operationalization

Large Language Models (LLMs) and Generative AI platforms

Enterprise data platforms and analytics ecosystems

Experience implementing end-to-end AI/ML pipelines including model development, deployment, monitoring, and governance.

Strong understanding of cloud architecture principles, microservices, APIs, and distributed systems.

Experience integrating OCI with enterprise applications, on-premise systems, and hybrid cloud environments.

Strong knowledge of cloud security, governance, compliance, and operational best practices.

Excellent analytical, troubleshooting, communication, and leadership skills.

Ability to lead cross-functional technical teams and manage multiple priorities in a fast-paced environment.