At a Glance
- Tasks: Lead client projects, shape solutions, and mentor teams in Data & AI.
- Company: Join Avanade, a top Microsoft partner, transforming businesses with innovative tech.
- Benefits: Enjoy 80+ hours of training yearly, career advisors, and a supportive work culture.
- Other info: Embrace a diverse and inclusive culture focused on innovation and growth.
- Why this job: Make a real impact with cutting-edge AI solutions while collaborating with industry experts.
- Qualifications: Advanced degree in a quantitative field and experience in cloud solutions required.
The predicted salary is between 43200 - 72000 £ per year.
We’re hiring a Solution Architect to join our Data & AI Practice, helping enterprise clients bring their vision to life through impactful, responsible, and scalable Data & AI solutions.
This is a senior, client‑facing leadership role – perfect for someone who thrives at the intersection of technical innovation, business strategy, and delivery excellence. From shaping deals and crafting solution roadmaps to mentoring delivery teams and leading Agentic AI and data platform engagements, this role is about creating real impact at scale.
As an Architect within our Data & AI practice, you'll deliver Agentic AI and data platform solutions and services that make transformative change and deliver high‑value business outcomes. You'll engage in solutioning through gaining deep insight into our customers' challenges and needs, taking responsibility for the technical design and solution for large‑scale analytical solutions. You’ll provide guidance and technical leadership to teams of data & AI engineers whilst building relationships with our clients to become a trusted advisor.
Key Responsibilities
- As an architect assigned to one or more client projects, you will work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts.
- Play a key role in Avanade's sales process by creating solutions that innovate, inspire and win new business. You’ll have responsibility for shaping the high‑level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business.
- As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization.
- Have the ability to translate complex technical concepts and solutions and present them in easy‑to‑understand language and value-based outcomes, to senior business stakeholders, technology leaders and internal sales teams.
- Engage in early conversations with clients, partners and sales teams to support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationships with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers.
- Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support GTM activities.
- Drive the evolution of best practices and methodologies for AI development, including data management, model training, fine‑tuning, and deployment.
- Stay abreast of the latest advancements in AI and data technologies and incorporate relevant innovations into our solutions.
Qualifications
- Excellent working knowledge of GenAI / Agentic AI, Microsoft Fabric and/or Databricks.
- Awareness of channels to market and how to work in a Microsoft and partner eco‑system to ensure Customer Success.
- High energy intent to help clients understand the fast‑moving Data & AI industry, product and service evolution.
- Experience working with stakeholders to create technical visions, high‑level architectures, and delivery roadmaps for large programs of work that involve the latest data platform concepts including on how to scale AI across enterprises.
- Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi‑disciplined stakeholders from engineering to senior ("C level") client executives.
- In‑depth understanding of modern Data & AI capabilities such as structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields.
- Experience in designing and delivering large-scale Data Platform solutions using relevant approaches (Lakehouse, Data Mesh, Fabric, Cloud Scale Analytics, etc.). Identifying and designing for key architectural characteristics such as performance, security, and reliability.
- Comfortable actively engaging and leading sales and business development opportunities with clients.
Benefits
Find out more about our benefits.
#J-18808-Ljbffr
Data & AI Architect employer: Avanade
Avanade is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the UK and Sweden. With a strong focus on employee growth, Avanade provides ample opportunities for professional development and engagement with industry leaders like Accenture and Microsoft, ensuring that every team member can contribute to meaningful projects that drive transformation. The company's commitment to a supportive environment and clear career pathways makes it an attractive place for those looking to make a significant impact in the AI workforce space.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Data & AI, especially around GenAI and Microsoft Fabric. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the Data & AI space, particularly those who work at Avanade or similar companies. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during the application process.
✨Tip Number 3
Prepare to discuss your experience with large-scale data projects and how you've successfully led teams. Be ready to share specific examples that highlight your leadership skills and technical expertise.
✨Tip Number 4
Stay updated on the latest advancements in AI technologies and be prepared to discuss how these innovations can impact business strategies. This will position you as a forward-thinking candidate who can contribute to Avanade's mission.
We think you need these skills to ace Data & AI Architect
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Data & AI Architect position. Tailor your application to highlight how your skills and experiences align with what Avanade is looking for.
Highlight Relevant Experience:In your CV and cover letter, emphasise your experience with GenAI, Microsoft Fabric, and Databricks. Provide specific examples of projects where you've successfully implemented large-scale data solutions or led teams in a client-facing role.
Showcase Technical Leadership:Demonstrate your ability to lead technical discussions and mentor teams. Include instances where you've shaped architectural decisions or influenced stakeholders, as this is crucial for the role at Avanade.
Craft a Compelling Cover Letter:Use your cover letter to tell a story about your passion for technology and how it drives you to help clients succeed. Make sure to connect your personal motivations with Avanade's mission and values.
How to prepare for a job interview at Avanade
✨Showcase Your Technical Expertise
Make sure to highlight your knowledge of GenAI, Microsoft Fabric, and Databricks during the interview. Be prepared to discuss how you've applied these technologies in past projects and how they can benefit the company's clients.
✨Demonstrate Your Consultative Skills
Since this role involves engaging with clients, practice articulating complex technical concepts in a way that is easy for non-technical stakeholders to understand. Use examples from your experience where you successfully communicated technical solutions to clients.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past challenges you've encountered in data architecture and how you overcame them, focusing on the impact of your solutions.
✨Emphasise Collaboration and Leadership
As a senior role, it's crucial to demonstrate your ability to lead and mentor teams. Share experiences where you've successfully guided teams through complex projects, highlighting your collaborative approach and how you built relationships with both team members and clients.
