Job Description

AI Sales Consultant - AI Customer Excellence Center

The Oracle AI Customer Excellence Center, part of Customer Success Services organisation, is a global team of pre-sales experts dedicated to helping customers achieve their business objectives by providing deep expertise, winning sales opportunities, and accelerating cloud adoption.


If you have enthusiasm, energy, and the ability to evangelize and expand the footprint of Oracle Cloud Platform and services through initiatives such as Gen AI Services, AI Agents, open-source AI models, AI Services and Infrastructure in the Cloud, and AI - SaaS Integrations,


You can articulate the credibility of Oracle's GenAI Services, AI Agents, AI Infrastructure products and solutions, from technical to board level, with a particular focus on key decision makers in the customers' organization


You are experienced in two or more of these topics:


Gen AI Services, AI Agents, LLMs workflow automation tools (N8N, Langflow, etc.) AI on SaaS, SaaS AI Agents, and AI SaaS Integration GPU Clusters, AI Infrastructure
Oracle AI CEC can be a great place for you!

Key Responsibilities

As an AI Sales Consultant, your main responsibilities will include:


Leading pre-sales technical and functional support for prospective clients, ensuring a positive customer experience Focusing on large or complex sales opportunities that require innovative solutions Advising clients on overall solution architecture Designing, building, and delivering customer demonstrations and technology workshops and webinars to showcase Oracle-based solutions Participate in or lead customer-specific Proof of Concepts, Workshops, or performance tests. Articulate the credibility of Oracle's GenAI Services, AI Agents, AI Infrastructure and Machine Learning Technology products and solutions, from technical to board level, with a particular focus on key decision makers in the customers' organization. Ability to understand the competitive landscape, recognize and communicate opportunities to up-sell based on product expertise. A thorough understanding of relevant Technical Architectures, their applicability to Oracle's customers, and their comparative advantages/disadvantages. Liaise with the Oracle ecosystem: + Account Teams and Sales Consulting to understand customer needs & pains.
+ Product teams need to learn and master new product features and absorb new technologies.
Contribute to Sales Consulting communities and cross-lob co-operation.
+

Experience & Expertise Requirements

We expect at least 5-7 years of deep, hands-on technical experience, expertise, and skills in three or more of the following areas. + Cloud AI Services experience and familiarity with Large Language Models (LLMs) are essential.
+ AI Infrastructure Design: Lead the architecture and implementation of AI/HPC infrastructure using GPUs/TPUs, high-speed networking, and scalable storage for GenAI/AI/ML workloads.
+ AI Deployment: Proven experience deploying large models in production on public clouds (OCI, AWS, Azure, GCP) and hybrid environments, utilizing microservices and containerization (Docker, Kubernetes) for scalable and reliable operations.
+ Large Language Models (LLMs): Deep expertise with closed and open-source LLMs across the full AI lifecycle--training, fine-tuning, and deployment for production inference.
+ Performance Optimization: Optimize AI infrastructure and applications on Oracle OCI, with a focus on computational efficiency and resource management.
+ Security & Compliance: Ensure all AI infrastructure and solutions comply with industry standards and organizational policies on security, privacy, and data governance.
Experience selling and positioning Oracle offerings Excellent written and verbal communication skills Ability to travel when required. Ability to build and maintain strong relationships with diverse stakeholders at all organizational levels Advanced organization, time management, and project management skills Advanced proficiency in English, both written and verbal



The above-mentioned mandatory technical skills have been gained in front-line customer-facing roles, such as Sales Consulting, Consulting, and Advanced Customer Services.



This is a hybrid / office-based role. A minimum of 3 days a week working from the office is required.

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 Oracle's customer service

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field required

Languages

English (proficiency required)


(Knowledge of an additional language is an asset)

Location

United Kingdom: London or Reading



As an AI Sales Consultant, your main responsibilities will include:


Leading pre-sales technical and functional support for prospective clients, ensuring a positive customer experience Focusing on large or complex sales opportunities that require innovative solutions Advising clients on overall solution architecture Designing, building, and delivering customer demonstrations and technology workshops and webinars to showcase Oracle-based solutions Participate in or lead customer-specific Proof of Concepts, Workshops, or performance tests. Articulate the credibility of Oracle's GenAI Services, AI Agents, AI Infrastructure and Machine Learning Technology products and solutions, from technical to board level, with a particular focus on key decision makers in the customers' organization. Ability to understand the competitive landscape, recognize and communicate opportunities to up-sell based on product expertise. A thorough understanding of relevant Technical Architectures, their applicability to Oracle's customers, and their comparative advantages/disadvantages. Liaise with the Oracle ecosystem: + Account Teams and Sales Consulting to understand customer needs & pains.
+ Product teams need to learn and master new product features and absorb new technologies.
+ Contribute to Sales Consulting communities and cross-lob co-operation.