Rackspace Us Inc.

Rackspace Us Inc.

Solution Director, Analytics & Al/ML

Remote, United States · Director

Sponsorship not specifiedDetected 30 days ago
PythonSQLBigQuerySnowflakeRedshiftDatabricksVector DatabasesAWSAzureCloud PlatformsMachine LearningSparkData AnalysisData EngineeringData ScienceLLMsRAGExcelIntellectual PropertyEHR/EMRLeadership

About the role

  • Sponsorship This role is not sponsorship eligible.
  • Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Responsibilities

  • 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:
  • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.
  • Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.
  • 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:
  • 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:
  • Guide architectural decisions on build vs. buy for both Al capabilities and data platform components

Requirements

  • Dual Expertise Required:
  • 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 proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences.

Nice to have

  • An advanced degree (Master's or PhD) in a relevant field
  • Experience with AWS professional services or AWS partner ecosystem across both Al and data domains
  • Hands-on experience with:
  • Multiple Lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift)
  • Multiple Al platforms: AWS Bedrock, Azure OpenAI, Google Vertex Al
  • Palantir Foundry and AIP
  • Uniphore Business AI Cloud
  • Industry certifications:

Skills

  • Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.
  • A minimum of 15 years of enterprise solution architecture experience.
  • A minimum of 8 years of public or private 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:
  • 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.

Compensation

  • Our compensation reflects the cost of labor across several geographic markets.

Benefits

  • Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
  • Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps.

Company info

  • Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).

Visa & Work Authorization

  • This role is not sponsorship eligible.
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This listing is sourced directly from Rackspace Us Inc.'s careers page and normalized into a canonical job model.