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- Tasks: Lead AI and Generative AI projects, transforming businesses with cutting-edge technology.
- Company: Join a leading cloud partner focused on customer success and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI transformation, shaping the future of digital enterprises.
- Qualifications: Experience in AI/ML solutions and strong technical leadership skills.
- Other info: Dynamic team environment with a focus on collaboration and continuous learning.
The predicted salary is between 48000 - 84000 £ per year.
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. 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.
Responsibilities- 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 (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 and upskill 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.
Services – AI and Generative AI Lead in London employer: Oracle
Contact Detail:
Oracle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Services – AI and Generative AI Lead in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This is especially important for roles in AI and tech, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and Generative AI. Think about how you can demonstrate your problem-solving skills and technical expertise during the conversation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Services – AI and Generative AI Lead in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI and Generative AI Lead role. Highlight your relevant experience in AI, ML, and cloud technologies, and show us how you can contribute to our mission of delivering measurable business outcomes.
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of projects where you've led AI or ML initiatives, and don't forget to mention any hands-on experience with Oracle Cloud Infrastructure. This is your chance to shine!
Be Customer-Focused: Since this role is customer-facing, demonstrate your ability to engage with clients effectively. Share experiences where you've successfully led workshops or translated complex technical concepts into understandable terms for non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Oracle
✨Know Your AI Inside Out
Make sure you’re well-versed in AI, Generative AI, and Machine Learning concepts. Brush up on the latest trends and technologies, especially those relevant to Oracle Cloud. Being able to discuss specific use cases and how they can drive business outcomes will impress your interviewers.
✨Showcase Your Technical Leadership
Prepare to share examples of how you've led technical projects or workshops in the past. Highlight your experience in managing design decisions and stakeholder communication. This role requires a strong customer-facing presence, so demonstrate your ability to translate complex technical details into understandable terms for clients.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach identifying high-value AI/ML use cases or developing proof of concept applications. Show your thought process and how you would ensure compliance and security in your solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current AI initiatives, team dynamics, and how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.