AI Solution Architect

Oracle; Reading; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global technology company seeks an AI Sales Consultant to lead pre-sales support and advise clients on AI Infrastructure and Services. The role requires deep expertise in cloud AI technologies and the capability to communicate effectively with diverse stakeholders. This is a hybrid position based in the UK, requiring 3 days in the office. A Bachelor's or Master's degree in a relevant field is required, along with 5-7 years of technical experience.

Qualifications

• At least 5-7 years of hands-on technical experience in cloud AI services.
• Proven experience deploying large models in production on public clouds.
• Experience with AI infrastructure using GPUs/TPUs and high-speed networking.

Responsibilities

• Leading pre-sales technical and functional support for prospective clients.
• Focusing on complex sales opportunities requiring innovative solutions.
• Designing and delivering customer demonstrations and technology workshops.

Skills

Cloud AI Services experience

Large Language Models (LLMs)

AI Infrastructure Design

AI Deployment

Performance Optimization

Security & Compliance

Excellent written and verbal communication

Strong relationship building

Advanced organisation and project management

Education

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

Tools

Docker

Kubernetes

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.

Key Topics Expertise

• Gen AI Services, AI Agents, LLMs
• workflow automation tools (N8N, Langflow,
• AI on SaaS, SaaS AI Agents, and AI SaaS Integration
• GPU Clusters, AI Infrastructure

Key Responsibilities

• 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
• Participating in or leading customer‑specific Proof of Concepts, Workshops, or performance tests.
• Articulating 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.
• Understanding the competitive landscape, recognizing and communicating opportunities to up‑sell based on product expertise.
• Having a thorough understanding of relevant Technical Architectures, their applicability to Oracle's customers, and their comparative advantages / disadvantages.
• Co‑ordinating with the Oracle ecosystem: Account Teams and Sales Consulting to understand customer needs & pains, mastering new product features and absorbing new technologies, and contributing 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: Optimise 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 organisational 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 organisational levels
• Advanced organisation, 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 empathise 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

Career Level

IC4