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For Companies At a Glance
- Tasks: Design enterprise AI solutions that meet business objectives and ensure scalability and security.
- Company: Join a leading firm in technology strategy, focused on innovative AI solutions.
- Benefits: Enjoy flexible working arrangements, private medical cover, and volunteering days.
- Why this job: Be part of a dynamic team shaping the future of AI in business.
- Qualifications: Proven experience in AI architecture and collaboration with sales and engineering teams required.
- Other info: Visa sponsorship available for the right candidate.
The predicted salary is between 54000 - 84000 £ per year.
Line of Service: Internal Firm Services Industry/Sector: Technology Specialism: Technology Strategy Management Level: Senior Manager
About the Role
We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards.
The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations. They provide deep experience in designing viable, feasible, performant AI solutions. They steer and direct the design of a solution to address specific client issues and requirements and accelerate the development of the solution plan as part of proposals.
What your days will look like:
The Solution Architect works directly with sales teams and clients to assess their needs and design a full solution, including performance, scaling and security requirements—often involving AI/ML systems—that aligns with their business objectives and integrates seamlessly into their existing IT infrastructure.
This role is for you if you have:
- Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams.
- Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs.
- Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration.
- Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications.
- Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies.
- Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration.
- Understanding of data science principles, enabling informed evaluation of machine learning and statistical models.
What you\’ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognizing and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Education:
- Degrees/Field of Study required: (Not specified in original text)
- Degrees/Field of Study preferred: (Not specified in original text)
Certifications: (Not specified in original text)
Required Skills: (Not specified in original text)
Optional Skills:
Accepting Feedback, Active Listening, Agile Methodology, Amazon Web Services (AWS), Analytical Thinking, Business Architecture, Business Continuity, Business Process Modeling, Business Process Workflow, Coaching and Feedback, Communication, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Application Integration, Enterprise Architecture, Enterprise Integration, Enterprise Service Bus (ESB), Google Cloud Platform, Inclusion, Influence, Intellectual Curiosity, IT Service Management (ITSM) {+ 18 more}
Desired Languages: (Not specified in original text)
Travel Requirements: Up to 20%
Available for Work Visa Sponsorship? No
Government Clearance Required? No
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AI Solution Architect Senior Manager (Visa Sponsorship Available) employer: Techwaka
Contact Detail:
Techwaka Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect Senior Manager (Visa Sponsorship Available)
✨Tip Number 1
Network with professionals in the AI and technology sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI solutions. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Familiarise yourself with the specific technologies and platforms mentioned in the job description, such as AWS Bedrock and Google Vertex AI. Having hands-on experience or certifications in these areas can set you apart from other candidates and demonstrate your commitment to the role.
✨Tip Number 3
Prepare to discuss real-world examples of AI solutions you've architected in previous roles. Be ready to explain your thought process, the challenges you faced, and how you ensured scalability and security in your designs. This will showcase your expertise and problem-solving skills.
✨Tip Number 4
Engage with our company on social media and professional platforms like LinkedIn. Comment on our posts, share relevant content, and express your interest in our work. This can help you get noticed by our hiring team and show your enthusiasm for joining us.
We think you need these skills to ace AI Solution Architect Senior Manager (Visa Sponsorship Available)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI Solution Architecture, particularly with enterprise customers. Emphasise your collaboration with sales and engineering teams, and include specific examples of successful AI-driven solutions you've designed.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI solutions and how your skills align with the company's objectives. Mention your expertise in LLM/SLM deployment and cloud AI technologies, and how you can contribute to their projects.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or case studies where you've successfully implemented AI solutions. Highlight the challenges faced, your approach, and the outcomes achieved to demonstrate your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to AI architecture, cloud security, and data science principles during the interview process. Be ready to discuss your thought process and decision-making when designing scalable and secure AI solutions.
How to prepare for a job interview at Techwaka
✨Showcase Your AI Expertise
Make sure to highlight your experience with AI-driven solutions, especially in enterprise settings. Be prepared to discuss specific projects where you designed scalable and secure AI architectures, as this will demonstrate your capability to meet the role's requirements.
✨Understand Business Objectives
Familiarise yourself with how AI can align with business goals. During the interview, articulate how you've previously translated business needs into effective AI solutions, showcasing your ability to assess data dependencies and success criteria.
✨Discuss Collaboration Skills
This role involves working closely with sales teams and stakeholders. Be ready to share examples of how you've successfully collaborated with cross-functional teams to deliver AI solutions, emphasising your communication and teamwork skills.
✨Prepare for Technical Questions
Expect to be asked about specific technologies and methodologies related to AI architecture, such as LLM/SLM deployment and cloud security. Brush up on these topics and be ready to explain your thought process and decision-making in previous projects.
