At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in a dynamic environment.
- Company: Globally renowned organisation at the forefront of AI innovation.
- Benefits: Up to £100,000 salary, hybrid work, and comprehensive benefits.
- Other info: Opportunity to mentor teams and drive productivity improvements.
- Why this job: Shape enterprise AI strategy and make a real impact with cutting-edge technology.
- Qualifications: Proven experience in Generative AI, machine learning, and strong Python skills.
The predicted salary is between 100000 - 100000 £ per year.
A globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes.
The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions.
Responsibilities for the Artificial Intelligence Architect:- Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business cases
- Act as a trusted advisor during discovery sessions, workshops and bid processes
- Translate business requirements into enterprise-grade Data and AI architectures
- Design and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflows
- Lead complex AI implementations, ensuring solutions deliver measurable value
- Evaluate and select appropriate models, frameworks, orchestration tools and platforms
- Architect and scale LLM-powered applications including chatbots and agent-based systems
- Produce thought leadership content and contribute to go-to-market propositions
- Maintain strong awareness of emerging technologies and the competitive AI landscape
- Collaborate closely with data science, engineering and business teams to design robust end-to-end solutions
- Contribute to account strategy, aligning technical delivery with business priorities
- Drive productivity improvements and cost optimisation through intelligent automation
- Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation
- Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps
- Experience delivering enterprise-scale RAG solutions using LLMs and vector databases
- Ability to design AI platforms that integrate with existing enterprise technology stacks
- Hands-on experience with core GenAI frameworks and agent-based AI concepts
- Strong deployment experience on at least one major cloud platform including AI and ML services
- Solid software engineering foundation for building scalable, maintainable AI systems
- Advanced Python expertise with AI and ML frameworks
- Experience with MLOps and LLMOps tooling including containerisation and orchestration platforms
- Proven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluation
- Strong understanding of advanced agent architectures, reasoning systems and evaluation methodologies
- Excellent stakeholder engagement and consulting capability
- Experience leading and mentoring teams of AI or software engineers
If you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance.
Senior AI Architect: Generative & Agentic AI Leader employer: Involved Solutions
Join a globally renowned organisation that champions innovation and excellence in the field of Artificial Intelligence. With a hybrid working model based in London, you will benefit from a collaborative work culture that prioritises employee growth and development, offering opportunities to lead transformative AI projects while engaging with cutting-edge technologies. Enjoy a competitive salary package alongside comprehensive benefits, all within an environment that values strategic thinking and hands-on expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Architect: Generative & Agentic AI Leader
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative and Agentic AI. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with LLMs, prompt engineering, and how you've led successful AI implementations. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you a leg up in the hiring process. Let’s get you that dream job!
We think you need these skills to ace Senior AI Architect: Generative & Agentic AI Leader
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior AI Architect. Highlight your experience with Generative and Agentic AI, and don’t forget to showcase your hands-on skills with LLMs and cloud platforms. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background aligns with our needs. Be specific about your achievements in AI architecture and how you’ve led successful projects in the past.
Showcase Your Thought Leadership:If you've produced any thought leadership content or contributed to go-to-market strategies, make sure to mention it! We love seeing candidates who are not just technically skilled but also engaged with the broader AI community.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative and Agentic AI. Be ready to discuss specific frameworks, models, and tools you've worked with. This role demands a deep understanding, so prepare examples of how you've architected solutions in the past.
✨Showcase Your Strategic Thinking
This isn't just about technical skills; it's also about being a trusted advisor. Think about how you've partnered with commercial teams or shaped proposals. Be prepared to share stories that highlight your ability to translate business needs into effective AI architectures.
✨Demonstrate Hands-On Experience
They'll want to know that you can get your hands dirty. Talk about your deployment experience on cloud platforms and how you've integrated AI solutions with existing tech stacks. Bring up any challenges you faced and how you overcame them.
✨Engage with Stakeholders
Since this is a client-facing role, practice how you communicate complex ideas to non-technical stakeholders. Prepare to discuss how you've led workshops or discovery sessions, and be ready to explain your thought process in a way that's easy to understand.
