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- Tasks: Lead the design and sales of AI/ML solutions and data modernization on AWS.
- Company: Join Rackspace Technology, a leader in cloud expertise and managed services.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make an impact by driving generative AI transformation and enterprise data modernization.
- Qualifications: 15+ years in solution architecture with deep expertise in AI/ML and data platforms.
- Other info: Dynamic role with mentorship opportunities and engagement with C-level stakeholders.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We’ve evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations. Our passionate experts combine the power of proactive, always‑on service and expertise with best‑in‑class tools and automation to deliver technology when and how our customers need it.
We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains – leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS).
This is a presales role that demands cross‑functional experience with proven ability to engage C‑level stakeholders, drive top‑of‑funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence.
Responsibilities- Strategic Leadership & Opportunity Development
- Drive top‑of‑funnel opportunity creation through two parallel tracks: engaging C‑level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.
- Lead the design and architecture of dual solution portfolios: Generative AI Solutions and Data Modernization.
- Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
- Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.
- Stay current with advancements in generative AI and modern data architectures.
- Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.
- Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas.
- Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts.
- Build strategic relationships using two engagement models: Executive Level and Technical Level.
- Lead comprehensive consultative engagements that begin with generative AI vision and translate into concrete data modernization roadmaps.
- Develop proposals that balance innovative AI capabilities with foundational data platform requirements.
- Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.
- Maintain deep expertise across both solution domains: Generative AI and Data Platforms.
- Position AWS solutions effectively against other cloud platforms' offerings.
- Guide architectural decisions on build vs. buy for both AI capabilities and data platform components.
- Deep experience with generative AI technologies and proven track record delivering data modernization.
- A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required.
- A minimum of 15 years of enterprise solution architecture experience.
- A minimum of 8 years of public cloud experience.
- A minimum of 5 years as a senior‑level architect or solutions leader with hands‑on experience in both AI/ML and data platform modernization.
- Proven Presales/Sales Engineering experience.
- Strong understanding across the full spectrum of AI/ML and Data Platforms.
- Proficiency in Python, SQL, and Spark with hands‑on experience in Generative AI and Data Engineering.
- A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences.
- An advanced degree (Master’s or PhD) in a relevant field.
- Experience with AWS professional services or AWS partner ecosystem across both AI and data domains.
- Industry certifications.
- Track record building practices that deliver both generative AI solutions and data modernization programs.
- Published thought leadership in generative AI applications and/or modern data architectures.
Solution Director (Analytics & Al/ML in London employer: Rackspace
Contact Detail:
Rackspace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Director (Analytics & Al/ML in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. The more people you know, the better your chances of landing that Solution Director gig. Don’t be shy; reach out and ask for informational chats!
✨Tip Number 2
Show off your expertise! Prepare a killer presentation or demo showcasing your knowledge in generative AI and data modernization. This is your chance to shine and demonstrate how you can drive top-of-funnel opportunities.
✨Tip Number 3
Tailor your approach for C-level conversations. When engaging executives, focus on the big picture and ROI. They want to see how your solutions can transform their business, so come prepared with compelling business cases.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Solution Director role!
We think you need these skills to ace Solution Director (Analytics & Al/ML in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solution Director role. Highlight your experience with generative AI and data modernization, and show how your skills align with what we’re looking for at Rackspace Technology.
Showcase Your Expertise: Don’t hold back on demonstrating your technical know-how! Include specific examples of projects where you’ve successfully implemented generative AI solutions or data architectures. We want to see your hands-on experience shine through.
Engage with Our Values: Familiarise yourself with our Fanatical Support ethos and how it shapes our customer interactions. Reflect this in your application by sharing how you’ve provided exceptional service in your previous roles.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Rackspace
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Amazon Bedrock, QuickSight, and Lakehouse architectures. Brush up on your knowledge of generative AI and data platforms, as you’ll need to demonstrate your expertise during the interview.
✨Engage with C-Level Scenarios
Prepare to discuss how you would engage C-level stakeholders. Think about how you can present generative AI solutions and data modernization needs in a way that resonates with executives. Practise articulating the business value and ROI of these technologies.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, be ready to share examples of how you’ve guided others in technical development. Highlight any experiences where you’ve successfully led projects or initiatives, especially in presales or solution architecture.
✨Prepare for Consultative Engagements
Think through how you would lead consultative engagements that start with a vision and translate into actionable roadmaps. Be prepared to discuss your approach to balancing innovative AI capabilities with foundational data platform requirements.