Oracle Services - AI and Generative AI Lead

• 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 (where appropriate) tool/function calling.
• 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 work, and ensure high implementation quality.
• Mentor team members
• Upskill and inform the wider consulting community on AI/ML/GenAI developments in Oracle technology stacks.
• Understand competitive landscape and communicate opportunities to up-sell based on product expertise.
• Liaise with the Oracle ecosystem (Account Teams, Sales Consulting, Product teams, communities, cross-LOB teams).

• Relevant degree or at least 6 years of industry experience in a similar role., * 6-10 years in software engineering, data/AI engineering, ML engineering, or solution architecture roles, including technical leadership of enterprise projects.
• Proven delivery experience across GenAI and ML solutions (at least one implemented beyond POC/pilot preferred).
• Delivery: architecture documentation, mentoring, stakeholder management
• Delivery: Demonstrated proficiency in a broad range of delivery processes and methodologies, including Agile (e.g., Scrum, Kanban, SAFe), iterative/incremental delivery, and traditional Waterfall/V-Model approaches.
• Experienced across the full delivery lifecycle (discovery through design, build, test, deployment, and hypercare), including effective management of scope, schedule, budget, quality, RAID, change control, and stakeholder communications in complex, multi-workstream engagements.
• Familiarity with core ML concepts (model training/validation, feature engineering, evaluation metrics, drift).
• Familiarity with GenAI concepts (RAG, prompt design, embeddings/vector search, evaluation/guardrails).
• Cloud architecture experience, preferably OCI (or equivalent with demonstrated ability to ramp quickly).
• Experience with CI/CD and operational readiness; strong troubleshooting and communication skills in client-facing settings.

Required Technical Skills

• AI (Oracle Stack): Understanding of Oracle's AI technology stack and the available options for implementing AI solutions, including Oracle Cloud Infrastructure (OCI) AI Services, Generative AI capabilities, Oracle Database AI features, and Oracle Fusion/industry AI capabilities, with the ability to recommend an appropriate approach based on business requirements, security, and compliance considerations.
• GenAI: RAG, embeddings, vector retrieval, prompt lifecycle, evaluation/guardrails
• ML: feature engineering, training/validation, metrics, drift monitoring, model deployment
• Data Management & Governance: Working knowledge of core data management and data governance practices, including data quality, lineage, master/reference data, metadata management, access controls, retention/privacy requirements, and adherence to established governance frameworks and policies.
• Demonstrated knowledge and practical experience with Oracle Database and SQL, including the ability to write and optimize queries, understand data models and indexing, troubleshoot performance and data issues.
• Engineering: Python, APIs, microservices, testing, observability
• Cloud: OCI foundations (IAM, networking, logging/monitoring), security and compliance
• Strong programming skills in Python and experience with production services/APIs; Java/TypeScript experience a plus.
• Nice to have: Experience with Oracle APEX (Application Express) is beneficial, including familiarity with rapidly building and deploying data-driven applications on Oracle Database.

Desired Attributes

• Confident and assertive
• Positive attitude
• Self-starter, comfortable working autonomously
• Ability to empathize with customers and understand their perspectives
• Skilled at balancing customer needs with Oracle's objectives
• Willingness to take initiative and assist wherever needed
• Team player who actively seeks innovative ways to enhance customer service
• Must be a UK citizen; current UK security clearance is preferred, and the ability to obtain/maintain the required clearance is essential.

• Competitive compensation and a comprehensive benefits package.
• Structured onboarding and personalized training, including induction.
• Flexible and hybrid working arrangements for optimal work-life balance.
• Opportunity to work with modern technology stacks and collaborate with global teams.
• Defined career development pathways, mentorship, and continuous learning programs.
• Inclusive work environment that values diversity and individual contributions.

 Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

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