Oracle Services – AI and Generative AI Lead

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 1500 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 clients business to ensure transformation initiatives drive real sustainable impact and continuous innovation.

Join us and become a vital part of a team that connects Oracles 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.

Oracle Services is seeking an AI Technical Lead to lead the end-to-end technical delivery of AI Generative AI and Machine Learning solutions for enterprise clients. This customer-facing role combines architecture ownership and hands-on engineering to deliver secure scalable AI-enabled applications on Oracle Cloud Infrastructure (OCI) following enterprise best practices for security privacy compliance and operational readiness.

The successful candidate will also support pre-sales activities create customer-facing presentations run workshops gather requirements advise customers and provide technical leadership across delivery teams.

What Youll Do

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 asRAG 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/contractsand 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 communicateopportunities to up-sell based on product expertise.
• Liaise with the Oracle ecosystem (Account Teams Sales Consulting Product teams communities cross-LOB teams).

What Youll Bring

Minimum Qualifications

• Relevant degreeorat least6 years of industry experienceina similar role.

Required Experience

• 610 years in software engineering data/AI engineering ML engineering or solution architecture roles including technical leadership of enterprise projects.
• Proven delivery experience acrossGenAI 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 preferablyOCI (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 Oracles 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 inPython 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 andassertive
• Positive attitude
• Self-starter comfortable working autonomously
• Ability to empathize with customers and understand their perspectives
• Skilled at balancing customer needs with Oracles 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.

What Well Offer

• 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.

Career Level - IC4