At a Glance
- Tasks: Design and deliver components for a cutting-edge Generative AI platform.
- Company: Join a dynamic organisation at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement potential.
- Why this job: Be part of transformative AI projects that shape the future of technology.
- Qualifications: Strong experience with Generative AI and cloud platforms required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Senior AI SME to support the design and rollout of an enterprise-scale Generative AI platform within a large, complex organisation. This role will focus on enabling LLM-based solutions, agent-driven workflows, and production AI use cases across the business.
Key Responsibilities
- Design and deliver components of an enterprise GenAI platform
- Enable LLM hosting, RAG pipelines, and AI-driven workflows
- Support development of agent-based automation solutions
- Ensure production readiness of AI use cases (scalability, monitoring, reliability)
- Build reusable frameworks and patterns for model deployment and onboarding
- Work closely with business stakeholders to define use cases and recommend appropriate models
- Collaborate with internal engineering teams and external vendors
Key Skills & Experience
- Strong experience with Generative AI / Large Language Models (LLMs)
- Hands-on exposure to RAG (Retrieval-Augmented Generation)
- Experience with AI agents / workflow orchestration (desirable)
- Strong cloud experience (AWS / Azure / GCP)
- Experience delivering AI solutions into production environments
- Background in architecture, platform engineering, or AI engineering
- Excellent stakeholder engagement and communication skills
Desirable
- Experience in financial services or regulated environments
- Exposure to AI governance, security, or compliance
- Experience building or contributing to AI platforms at scale
Additional Information
- Role sits within a cloud security / engineering function
- Focus is on AI platform delivery and enablement, not traditional cyber/GRC
- Fast-moving process
If you are interested, please apply with your latest CV or get in touch for further details.
Senior AI SME - GenAI Platform employer: GCS Recruitment
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where collaboration and creativity thrive. As a Senior AI SME, you will have the opportunity to work on cutting-edge Generative AI projects within a large-scale environment, supported by a team that values your expertise and encourages professional growth. With a focus on impactful AI solutions, this role not only promises meaningful work but also provides access to advanced resources and a commitment to fostering a diverse and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI SME - GenAI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Generative AI. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your work with LLMs and AI solutions. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of RAG pipelines and AI-driven workflows. Be ready to discuss how you’ve tackled challenges in previous roles and how you can bring that experience to the table.
✨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 Senior AI SME - GenAI Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Generative AI and Large Language Models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Communication Skills:Since this role involves working closely with stakeholders, it’s important to demonstrate your excellent communication skills. Use clear and concise language in your application to show us you can engage effectively with different teams.
Highlight Relevant Experience:If you've worked in financial services or have experience with AI governance, make sure to mention it! We’re looking for candidates who can bring valuable insights from regulated environments to our team.
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’s super easy!
How to prepare for a job interview at GCS Recruitment
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models (LLMs). Be prepared to discuss specific projects you've worked on, especially those involving RAG pipelines or AI-driven workflows. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Cloud Experience
Since cloud experience is key for this role, be ready to talk about your hands-on work with AWS, Azure, or GCP. Highlight any specific projects where you deployed AI solutions in production environments, as this will demonstrate your ability to deliver scalable and reliable systems.
✨Engage with Stakeholders
This role requires excellent stakeholder engagement skills. Prepare examples of how you've collaborated with business stakeholders to define use cases and recommend models. This will illustrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Fast-Paced Questions
Given the fast-moving nature of the process, practice answering questions succinctly and confidently. Think about potential scenarios they might present regarding AI governance, security, or compliance, especially in regulated environments, and how you would address them.
