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- Tasks: Lead the design and sales of AI/ML and data modernisation solutions.
- Company: Join Rackspace Technology, a leader in cloud services and innovative solutions.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI transformation and data innovation in a dynamic environment.
- Qualifications: 15+ years in enterprise architecture with expertise in AI/ML and data platforms.
- Other info: Collaborate with top-tier clients and drive impactful technology solutions.
The predicted salary is between 72000 - 108000 £ 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 & AI/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: 1) Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. 2) Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.
- 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 (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics).
- 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: 1) Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions. 2) Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.
- Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.
- Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).
- Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs.
- Maintain deep expertise across both solution domains: 1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. 2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.
- Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery).
- Guide architectural decisions on build vs. buy for both AI capabilities and data platform components.
- Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.
- Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments.
- A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager’s discretion, additional relevant experience may substitute for the degree requirement.
- 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.
- Demonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations.
- Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality.
- Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools.
- 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.
- Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift).
- Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI.
- Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro.
- Experience with regulated industries requiring governance for both AI and data platforms.
- 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 Technology
Contact Detail:
Rackspace Technology 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.
✨Tip Number 2
Show off your expertise! Prepare to discuss generative AI and data modernization in detail. Bring examples of your past successes to the table during interviews to impress those C-level stakeholders.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or mentors to refine your pitch. Focus on how you can drive top-of-funnel opportunities and deliver real value through your solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in Rackspace Technology. Tailor your approach to highlight how your skills align with our mission of delivering Fanatical Experienceâ„¢.
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 us how your skills align with what we're looking for.
Showcase Your Expertise: We want to see your deep understanding of both generative AI and data platforms. Include specific examples of projects you've led or contributed to, especially those involving AWS technologies like Amazon Bedrock or Lakehouse architectures.
Engage with Our Values: At StudySmarter, we value a proactive approach. In your application, reflect on how you embody this through your past experiences. Share instances where you've driven top-of-funnel opportunities or engaged C-level stakeholders effectively.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Rackspace Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific 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 Conversations
Prepare to discuss how you can engage C-level stakeholders effectively. Think about examples from your past experiences where you’ve successfully led discussions around generative AI or data modernization. This will show that you can drive top-of-funnel opportunities and build strategic relationships.
✨Craft Compelling Business Cases
Be ready to articulate how you would develop business cases that connect AI aspirations with practical data foundation requirements. Think of specific scenarios where you’ve demonstrated ROI through innovative solutions, as this will highlight your ability to combine technical expertise with business acumen.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading Solution Architects, prepare to discuss your leadership style and experiences. Share examples of how you’ve guided teams in both generative AI and data modernization projects, showcasing your ability to foster skill growth and technical development.