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.

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.

Lead Solution Architect, Analytics – AI/ML

Key skills