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For Companies At a Glance
- Tasks: Collaborate with teams to create impactful AI solutions and lead client engagements.
- Company: Ascent is a leading digital transformation business focused on AI, data, and cloud solutions.
- Benefits: Enjoy flexible work options, well-being support, and professional development opportunities.
- Why this job: Shape the future of Generative AI while working in a vibrant, inclusive environment.
- Qualifications: Experience in Azure architecture and a passion for learning about Generative AI is essential.
- Other info: Join a diverse team that values empathy, energy, and audacity in a modern workplace.
The predicted salary is between 43200 - 72000 £ per year.
Join Ascent and help shape the future of Generative AI solutions, by becoming a valued team member where your skills matter, your impact is significant, and your career can reach new heights.
About Us
We are Ascent! We help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in various industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. At Ascent, we believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team.
We are a Microsoft Azure-focused consultancy and services company, specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as one of Microsoft's top 10 Generative AI partners in the UK, we offer the opportunity to shape cutting-edge AI initiatives for a wide range of clients.
About the role
As a Generative AI Solution Architect, you will:
- Collaborate and Innovate: Partner with both internal and client teams to understand business needs and create tailored, high-impact AI solutions.
- Lead with Expertise: Engage in early-stage client activities - from qualification and demos to proofs of concept, pilots, and discoveries - ensuring a seamless handover to the delivery teams.
- Leverage Subject Matter Expertise: Architect elegant, scalable solutions and maintain trusted client relationships. Stay current with emerging trends, contribute to new propositions, and share insights through blogs and other media.
- Work in a Hybrid Environment: Participate in weekly in-person meetings at our London or Bristol offices, with occasional travel to client sites. Enjoy a flexible blend of remote and on-site work.
- Contribute to Accelerators: Help evolve Ascent's AI accelerators, enabling customers to rapidly implement effective solutions from both a technology and business perspective.
Your Skills
- Azure Architecture Experience: Proven success as an Azure Solution Architect in Software/App Innovation, Data, or AI, with the ability to consult, architect, and estimate solution costs.
- Generative AI Knowledge: Familiarity with Copilot, Azure AI Studio, Azure AI Foundry, and Agentic AI. We welcome applicants who are eager to learn and adapt in this rapidly evolving field.
- Infrastructure & DevOps Skills: Understanding of Azure infrastructure concepts and tools such as Azure DevOps, GitHub, CI/CD, ARM, BICEP, and Terraform.
- Exceptional Communication: Strong verbal, written, and presentation skills to both internal and external audiences.
- Versatile Experience: Working with varying organisations, from SMC to Enterprise.
- Agile Methodologies: Commercial Agile experience is desirable.
- Certification Preferred: Microsoft certifications are advantageous.
Working at Ascent
At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we will support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.
Contact Detail:
Ascent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Cloud Solution Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Azure technologies. This will not only help you during interviews but also demonstrate your passion and commitment to staying current in this rapidly evolving field.
✨Tip Number 2
Network with professionals in the AI and cloud solution space, especially those who have experience with Microsoft Azure. Engaging in discussions on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss real-world applications of AI solutions you've worked on or studied. Being able to articulate your experience with specific projects will showcase your expertise and problem-solving skills to potential employers.
✨Tip Number 4
Demonstrate your communication skills by being clear and concise in all interactions. Whether it's during networking events or interviews, showing that you can effectively convey complex ideas will set you apart as a candidate.
We think you need these skills to ace AI Cloud Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure architecture, Generative AI, and DevOps. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI solutions and your understanding of Ascent's mission. Mention how your background aligns with their focus on digital transformation and collaboration.
Showcase Your Communication Skills: Since exceptional communication is key for this role, ensure your application reflects strong written skills. Use clear and concise language, and consider including a brief example of a successful presentation or client interaction.
Highlight Continuous Learning: As the field of AI is rapidly evolving, mention any recent training, certifications, or projects that demonstrate your commitment to staying current. This could include Microsoft certifications or participation in relevant workshops.
How to prepare for a job interview at Ascent
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure architecture and any relevant projects you've worked on. Be prepared to discuss specific tools like Azure DevOps, GitHub, and CI/CD processes, as these are crucial for the role.
✨Demonstrate Generative AI Knowledge
Familiarise yourself with key concepts and tools related to Generative AI, such as Copilot and Azure AI Studio. Be ready to share insights or examples of how you've applied these technologies in past projects.
✨Emphasise Collaboration Skills
As the role involves working closely with both internal teams and clients, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully partnered with others to deliver high-impact solutions.
✨Prepare for Agile Methodology Questions
Since Agile experience is desirable, brush up on Agile principles and be ready to discuss how you've implemented them in your previous roles. Highlight any specific methodologies you've used and how they contributed to project success.
