Rackspace Technology

Lead Solution Architect, Analytics – AI/ML

Rackspace Technology

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $220,000 - $269,000 per year

Job Level

About the role

  • Lead the design and architecture of dual solution portfolios: Generative AI Solutions and Data Modernization.
  • Drive top-of-funnel opportunity creation through engaging C-level stakeholders with generative AI demonstrations and identifying data modernization needs.
  • 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.
  • Guide customers through parallel journeys: generative AI adoption and data platform modernization.
  • Maintain deep expertise across both solution domains: Generative AI and Data Platforms.

Requirements

  • 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.
  • A minimum of 12 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.
  • 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.
Benefits
  • incentive compensation opportunities in the form of annual bonus or incentives
  • equity awards
  • Employee Stock Purchase Plan (ESPP)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
generative AIdata modernizationLakehouse architectureDatabricksSnowflakeAWS GlueAWS EMRPythonSQLSpark
Soft Skills
engaging C-level executivestrusted advisorarticulate visionary possibilitiesbusiness case developmentcustomer guidance