Gen AI Tech Cloud Domain Lead

Overview

Oracle Consulting is passionate about Oracle Applications and Technology solutions and staffed with the experts that others turn to for best practices. With our global scale of more than 7,000 experts in more than 100 countries driven by core values of client service, candor, collaboration, commitment & character, we know how to move our customers to the Oracle Cloud using our proprietary Cloud native methodology covering governance, people, process and technology as quickly and cost effectively as possible with the lowest risks.

Oracle Consulting leads in customer success, delivery excellence and innovation. Our experts deliver industry-leading solutions utilizing their experience and the most sophisticated Oracle product access, capabilities, methods, and tools across diverse industries and geographies. Our 100% Oracle Cloud Certification mandate ensures our customers' projects are staffed with the best in the business.

The Oracle Consulting organization aims to grow revenue and increase value contribution to our customers by:

• Providing best of industry service to maximize customer satisfaction and enable business requirements
• Leading innovation, expertise and specialization through a high performance organization 
• Driving the most agile and efficient solution while expanding existing customers base 
• The high profile delivery team will be instrumental to Oracle's future and growing success

Description
What You'll Do

The ideal candidate will have a deep understanding of modern data platforms including Data Mesh and Lakehouse architectures, expertise in Oracle Cloud Infrastructure (OCI), and a strong foundation in Big Data, ML/AI, MLOps, Business Intelligence (BI), and Generative AI technologies. This role combines strategic thinking, architecture leadership, and technical excellence across real-time and batch data solutions. 

• Own and drive architectural decisions for large-scale Data & AI transformation projects across cloud and hybrid environments.
• Design end-to-end data architectures leveraging Data Lakehouse, Data Mesh, and real-time analytics frameworks.
• Lead the implementation of scalable pipelines using OCI DI, Data Flow, PySpark, and Python.
• Architect integration of open-source and fine-tuned LLM models within enterprise AI workflows.
• Has automated processing using AI Agent and Developed Agentic AI services. Have worked  with LangChain or Langgraph or N8N platform for developing AI based application and workflow automation
• Implement MLOps practices to operationalize ML models, manage model lifecycle, and monitor performance.
• Have used MCP (Model Context Protocol) while designing AI/GenAI Based solution
• Provide architectural direction on Business Intelligence (BI) reporting, data visualization, and self-service analytics strategies.
• Establish and enforce best practices in data governance, privacy, and security aligned with industry standards.
• Define data modeling standards and lead implementation of optimal schemas for analytics and AI workloads.
• Work on POC development, presales activities, and technical solution presentations to clients.
• Collaborate with delivery managers, engineers, and business stakeholders to ensure architectural alignment and successful delivery.

Required Skills/Experience
What You'll Bring

Technical skills:

• Deep expertise in Oracle Cloud Infrastructure (OCI) services including OCI DI, Data Flow, Object Storage, Autonomous Database (Preferred).
• Hands on experience on developing ML and AI models based on customer requirement
• Strong hands-on experience with multi-cloud ecosystems (OCI,AWS, Azure, GCP) and orchestrating various flow and process using Agentic AI
• Advanced Python and PySpark skills for scalable data engineering and ML pipelines.
• Experience with MLOps pipelines using tools like MLflow, Kubeflow, Airflow, or similar tools and platform and deploying ML/AI models 
• Experience with BI tools like Power BI, Tableau, Oracle Analytics Cloud, or Looker.
• Practical knowledge in integrating and fine-tuning open-source LLMs and building enterprise-ready Gen AI solutions.
• Proven ability to lead data migration, cloud modernization, and AI-driven innovation projects.

Process experience: 

• Hands-on experience in presales, POC development, solution architecture, and proposal support.
• Leadership in client advisory, stakeholder communication, and escalation handling.
• Delivery leadership across end-to-end project lifecycle.

Soft skills: 

• Exceptional communication and presentation skills (verbal and non-verbal).
• Client-facing skills with proven ability to manage executive stakeholders.
• Demonstrated leadership and mentorship capabilities.
• Collaborative approach with cross-functional teams.
• Strong negotiation, conflict resolution, and team management skills.

Preferred certifications: 

• OCI Architect Professional/Data Engineer Associate/OCI Gen AI 
• AI/ML Certifications (Oracle, AWS, Azure, GCP).
• MLOps and BI tool certifications are a plus.
• Certifications in Gen AI or LLM model specialization.

Why join us?

• Be a key influencer in building next-generation data and AI platforms.
• Work on strategic client initiatives and large-scale digital transformations.
• Engage with cutting-edge Gen AI, cloud-native, and open-source ecosystems.
• Gain advantage working with Oracle Cloud – one of the leading platforms for enterprise workloads.

#LI-DNI

Career Level - IC3