[Remote] Solution Director, Analytics & Al/ML

Note: The job is a remote job and is open to candidates in USA. Rackspace Technology is seeking a highly accomplished Solution Director, Analytics & Al/ML to lead the design and sales of critical solution portfolios focused on Generative AI and Data modernization on AWS. This pivotal presales role requires engaging C-level stakeholders and driving opportunity creation while delivering enterprise data modernization solutions.ResponsibilitiesDrive 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 transformationsLead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutionsData Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWSAct as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernizationDevelop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfoliosStay 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 patternsMentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areasServe as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accountsBuild strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planningLead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmapsDevelop proposals that balance innovative AI capabilities with foundational data platform requirementsGuide 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 needsMaintain deep expertise across both solution domains: Generative AI **: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. Data Platforms **: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta LakePosition 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 Al capabilities and data platform componentsSkillsDeep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementationsProven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deploymentsA 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 requirementA minimum of 15 years of enterprise solution architecture experienceA minimum of 8 years of public or private cloud experienceA minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernizationProven Presales/Sales Engineering experienceDemonstrated success in engaging C-level executives using generative AI demonstrations while delivering complex data platform transformationsStrong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuningData Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data qualityProficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding modelsData Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration toolsA proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiencesAn advanced degree (Master's or PhD) in a relevant fieldExperience with AWS professional services or AWS partner ecosystem across both AI and data domainsHands-on experience with: Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AIPalantir Foundry and AIPUniphore Business AI CloudIndustry certifications: AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics SpecialtyPlatform specific: Databricks Certified, Snowflake SnowProExperience with regulated industries requiring governance for both AI and data platformsTrack record building practices that deliver both generative AI solutions and data modernization programsPublished thought leadership in generative AI applications and/or modern data architecturesBenefitsThe compensation package may also include incentive compensation opportunities in the form of annual bonus or incentivesEquity awardsEmployee Stock Purchase Plan (ESPP)Company OverviewRackspace Technology® is the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production. It was founded in 1998, and is headquartered in San Antonio, Texas, USA, with a workforce of 5001-10000 employees. Its website is https://www.rackspace.com.