Services – AI and Generative AI Lead

Overview

Our mission is to accelerate customer success and help organizations unlock the full value of their Oracle Cloud investments. As a strategic end-to-end cloud partner, we focus on delivering measurable business outcomes, not just technology implementations. With more than 1,500 successful Oracle Cloud projects delivered across EMEA, we combine deep expertise, proven methodologies, and global scale to provide solutions with speed, efficiency, and predictability.

Our team across EMEA and JAPAC collaborates through our “One Oracle” approach, reducing risk and maximizing return on investment for our clients.

We take a holistic view of each client’s business to ensure transformation initiatives drive real, sustainable impact and continuous innovation. Join us and become a vital part of a team that connects Oracle’s technology to the millions of businesses ready to evolve. You will be at the forefront of strategic cloud transformation and business analytics conversations, shaping the future of digital enterprise.

Customer‑Facing Technical Leadership

• Lead technical discovery workshops to identify high‑value AI/ML/GenAI use cases, success metrics, and solution constraints.
• Develop and provide input into AI/ML/GenAI proof of concept applications to support specific customer requirements or to provide generic frameworks and delivery accelerators.
• Translate business requirements into target architectures, technical designs, delivery plans, and implementation backlogs.
• Serve as the primary technical lead, managing design decisions, risks, dependencies, and stakeholder communication.

GenAI Solution Design & Delivery

• Design and implement enterprise GenAI patterns such as RAG, summarization, extraction, classification, assistants/copilots, and tool/function calling where appropriate.
• Define retrieval strategies (chunking, metadata, embeddings, relevance tuning) and grounding approaches to improve response quality.
• Establish evaluation and testing practices for GenAI (quality, groundedness, safety, regression testing for prompts and retrieval).

Machine Learning / Predictive AI Delivery

• Lead ML solution development across the lifecycle: data understanding, feature engineering, training/validation, deployment, and monitoring.
• Select and implement appropriate algorithms for supervised/unsupervised learning; define performance metrics and acceptance criteria.
• Support model governance processes (model documentation, approvals, lineage, reproducibility, and change control).

Data & Integration Architecture

• Partner with data and application teams to design secure data pipelines and integrations (batch/streaming/APIs) across enterprise systems.
• Ensure data access patterns meet privacy, residency, and compliance requirements; define data quality checks and controls.
• Guide implementation using Oracle data services and standard engineering patterns (APIs, microservices, event‑driven designs).

MLOps / LLMOps & Productionization

• Establish CI/CD and automation for AI/ML/GenAI components including versioning, testing, and environment promotion.
• Implement monitoring and observability for reliability and quality: latency, throughput, drift, accuracy, cost/token usage, and safety signals.
• Create operational documentation and runbooks; support go‑live readiness and post‑production stabilization.

Security, Privacy, and Responsible AI

• Apply secure‑by‑design practices: least‑privilege IAM, encryption, secrets management, auditing/logging, and network segmentation.
• Implement responsible AI controls such as guardrails, output filtering, human‑in‑the‑loop workflows (when required), and documentation.
• Ensure alignment to customer and Oracle policies for data handling, third‑party dependencies, and compliance.

Team Leadership & Delivery Excellence

• Provide hands‑on technical guidance through code reviews, design reviews, troubleshooting, and mentoring.
• Contribute reusable assets (reference architectures, accelerators, templates) to improve delivery velocity and quality.
• Support estimation and planning; contribute technical input to proposals/contracts and customer presentations/briefings as needed.
• Lead small delivery teams, coordinate…