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For Companies At a Glance
- Tasks: Lead the design and development of advanced AI solutions for clients.
- Company: Join a forward-thinking company expanding its AI & Data Practice.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of AI while making a real impact on client projects.
- Qualifications: Strong background in AI architecture and hands-on experience with Conversational AI.
- Other info: Collaborative environment with opportunities for mentorship and leadership.
The predicted salary is between 36000 - 60000 £ per year.
Our client is expanding its AI & Data Practice and looking for a Principal Solutions Architect to lead the design, development, and operationalisation of advanced AI solutions. This is a hands-on, client-facing role spanning conversational AI, automation, MLOps/LLMOps, and AIOps, combining strategic architectural thinking with deep technical leadership to deliver scalable, secure, and high-impact AI capabilities across customer experience, IT operations, and enterprise workflows.
What You'll Do
- Shape AI strategy and create high-level designs for enterprise AI and automation solutions, translating complex business needs into production-ready architectures.
- Lead the development of Conversational AI implementations, virtual agents, voice assistants, and multi-channel experiences, while implementing LLMOps and MLOps practices to manage the full model lifecycle from deployment through to performance optimisation.
- Design secure integrations using Model Context Protocol (MCP) and Agentic AI frameworks, architect and scale AIOps platforms to enhance IT operations and observability, and collaborate across data science and engineering teams to build seamless AI-driven experiences.
- Provide technical leadership to pre-sales engagements and mentor teams on AI best practices and responsible AI.
What You Bring
- A strong background in AI architecture with hands-on experience in Conversational AI and LLM platforms, ideally including Amelia or a comparable product.
- Deep knowledge of LLMOps, MLOps, AIOps, and modern AI engineering practices, with strong programming skills in Python, Java, or similar.
- Experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, and CI/CD pipelines.
- Knowledge of database technologies such as Oracle, MSSQL, MongoDB, or DB2, and comfortable working across Linux and Windows environments.
- Degree qualified or equivalent technical experience.
- Excellent communication, stakeholder management, and leadership skills, able to articulate complex technical concepts to both engineering teams and senior client leadership.
Tech Landscape: Conversational AI · LLMOps · MLOps · AIOps · Amelia · Python · Java · AWS · Azure · GCP · MCP / Agentic AI · Oracle · MSSQL · MongoDB · CI/CD · Linux · DevOps
Interested? Get in touch with TechByte Talent for a confidential conversation about this opportunity.
Principal Solutions Architect in Slough employer: TechByte Talent Ltd
Contact Detail:
TechByte Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Solutions Architect in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Principal Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects in Conversational AI and LLMOps. This hands-on evidence will speak volumes about your capabilities and make you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with cloud platforms and DevOps practices. We want you to articulate complex concepts clearly, so practice makes perfect!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you an edge. Plus, it’s super easy to navigate and keeps everything in one place.
We think you need these skills to ace Principal Solutions Architect in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Solutions Architect role. Highlight your hands-on experience in AI architecture, especially with Conversational AI and LLM platforms, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention any relevant projects or achievements.
Showcase Your Technical Skills: We love seeing technical prowess! Be sure to list your programming skills, cloud platform experience, and familiarity with DevOps practices. This will help us understand your capabilities in delivering scalable AI solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI architecture, especially around Conversational AI and LLM platforms. Be ready to discuss specific projects you've worked on and how they relate to the job description. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led teams or projects in the past. Think about times when you mentored others or drove a project to success. Highlight your communication skills and how you can articulate complex ideas to both technical and non-technical stakeholders.
✨Get Familiar with Their Tech Stack
Research the technologies mentioned in the job description, like Python, Java, AWS, and Azure. If you have experience with any of these, be ready to discuss it in detail. If not, at least understand their basics so you can speak intelligently about them during the interview.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Think about how you would approach designing an AI solution or optimising a model lifecycle. Practising these scenarios can help you articulate your thought process clearly during the interview.
