> Markdown version of [/jobs/ext/3288316-oracle-data-ai-architect](https://www.wearedevelopers.com/jobs/ext/3288316-oracle-data-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Oracle Data & AI Architect - **Company:** Accenture - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, OpenShift, Oracle Databases, Oracle (Applications), Oracle Warehouse Builder, Standard Sql, Search Technologies, Enterprise Data Management, Large Language Models, Apache Spark, Generative AI, Data Lakes, AI Platforms, Oracle Service Cloud, Kubernetes, Data Management, Machine Learning Operations, Oracle Cloud Infrastructure, Databricks - **Published:** September 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3079a64d254f3160 ## About the Role We are looking for candidates that excel in working in a client facing environment with passion and proven delivery and architecture design skills. Candidates should be able to approach client challenges in an informed, structured and innovative way. Ideally, you have solid prior experience on Oracle applications, with focus on designing and implementing AI solutions based on Oracle. * Proven experience delivering data platform, analytics, AI or machine learning projects using Oracle technologies. * Strong technical experience across Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, Oracle Database, Oracle Data Integration, GoldenGate, Oracle Analytics Cloud (OAC), Oracle Data Intelligence and related services. * Experience designing and delivering AI and Generative AI solutions leveraging OCI AI Services, OCI Generative AI, Vector Search, Retrieval Augmented Generation (RAG) patterns and Large Language Models (LLMs). * Strong SQL, data modelling, ETL/ELT and data engineering skills, with experience building scalable enterprise data platforms. * Previous experience of working in a consultancy environment leading workstreams and managing discrete client engagement * Ability to build and maintain relationships with clients. * Multiple lifecycle implementations of Oracle AI solutions, including the following phases: business case, requirements gathering, fit/gap analysis, Cloud architecture, design documentation, and deployment. Set Yourself Apart: * Confidence in presenting challenging points of view to client audiences * Experience presenting complex technical and AI concepts to both technical and non-technical client audiences. * Experience structuring activities that play to a team's strengths and provide opportunities for others to grow * Workstream team lead experience - leading, mentoring and developing our people. * Hands-on experience with cloud-native architectures, data lakes, lakehouses and enterprise AI platforms. * One or more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. * Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. * Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. * Ability to travel as required to support client engagements. #LI-EU ## Description * Manage delivery of Oracle Data & AI projects across strategy, design, implementation and deployment phases. * Design and implement modern data platforms leveraging Oracle Cloud Infrastructure (OCI) and Oracle Data & AI products. * Work directly with client stakeholders to understand business requirements and translate them into scalable data and AI solutions. * Support AI and Generative AI use cases using Oracle AI Services, OCI Generative AI, Vector Search and Oracle Database 23ai (or above) capabilities. * Guide development teams and provide hands-on technical leadership throughout project delivery. * Contribute to solution architecture, estimating, proposals, and business development activities.