CSS Lead Cloud Architect Artificial Intelligence

Oracle
Solihull
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Developer

Motor Technical Underwriter

Motor Technical Underwriter

Motor Technical Underwriter

Data Scientist, AI/ML, Associate

Who are we?

The Advanced Service Engineer (ASE) organization in CSS is a global, innovative, open-minded and diverse team of highly skilled technical engineers. The ASE establishes long-term trusted relationships with Oracle’s key customers helping them to maximize their Oracle Cloud and on-premise investment, innovate faster, and accelerate their business success with solutions for all cloud environments and Artificial Intelligence solutions.

Job Description

We are looking for a Lead Cloud Architect (LCA) with Artificial Intelligence experience who will be responsible of design, build and manage best in class solutions for our CSS customers:

Establishes trusted relationships with customers  Be familiar with Oracle Cloud and AI products and solutions Assess and analyse customer needs to capture business and industry requirements; translate them into technical architectures aligned with Oracle’s best practices Leading CSS’s highly experienced delivery teams by providing technical governance and guidance. extensive problem resolution skills build relationships with the team members, other Oracle teams and the customers at different levels of the reporting line up to CIO or equivalent business owner. Be the main contact for new business opportunities by supporting our CSS Services Solutioning team. Assist with scope and Loe definition and technical guidance Drive innovation by incubating new practices and solutions including a structured approach how to adapt them. Market awareness around existing and emerging technologies Apply industry and Oracle best practices, product knowledge and business acumen Be the Oracle Solution Delivery authority to ensure that customers achieve beneficial solutions regarding cost effectiveness, quality and manageability. Providing technical guidance on Oracle cloud and AI solutions to customers and Oracle internal. Ensure successful handover from implementation toward operations making sure the implemented solution will fit the customer requirements. Maintain the Oracle Solution to make sure the customer demands needs will be met.  Drive your development in Oracle cloud and AI technologies. Work closely with different CSS team making implementation and operation of mission critical environment a success. 

Career Level - IC4

Skills and Qualifications

Minimum five years (5) of experience as a senior architect delivering cloud and AI solutions Applicants are required to read, write, and speak fluently English. strong communication skills, including the ability to communicate with technical and non-technical staff at all levels of the customer organization. keen to learn new cloud and AI technologies customer first attitude team player making your team stronger technical leadership through from sales to delivery for large and complex cloud and AI solutions positive, creative, agile and innovative attitude around design and delivery of solutions (“think out of the box”) ability to analyse and document complex issues and give recommendations. positive influencer on those around you and motivate others toward success.

Preferred Technical Skills:

Overall good knowledge of Oracles cloud solutions (OCI, IaaS, PaaS, Networks) Strong knowledge of AI technologies Application AI features for different industries Machine Learning, Deep Learning Common AI use cases AI services & technologies (Digital assistant, NLP, Speech, Anomaly detection) Generative AI incl. Cohere Data science AI infrastructure (GPU, RDMA, Nvidia software) Good knowledge of Applications/SaaS, Databases and Middleware/PaaS services  Good technical knowledge of relevant open source cloud technologies Strong understanding of cloud security  Knowledge of Cloud native design solutions Strong automation process and technology experience (DevOps, GitOps)

“At Oracle, we don’t just respect differences—we celebrate them. We believe that innovation starts with inclusion and to create the future we need people with diverse backgrounds, perspectives, and abilities. That’s why we’re committed to creating a workplace where all kinds of people can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

We expressly encourage disabled candidates to apply for this position. Please therefore feel free to voluntarily inform us in your application about any severe disability (degree of disability of at least 50%) or any equal status (degree of disability of at least 30% together with official decision on equality) in accordance with the German SGB IX.”

In case the candidate states that he/she has a disability, we would needto involve the representative for disabled people(SBV) into the whole recruitment process. As soon as you got an application from a disabled person, pleasesend the CV, etc. to the SBV(

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.