SME - Terraform,Python,Google Cloud Build,Ansible
Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 30, 2026.
Job Summary
Retrieval methods, search strategies and RAG architectures LLM architectures, reasoning techniques and agentic systems Evaluation frameworks, experimentation and statistical methods Strong hands on SQL and data analysis skills (BigQuery/Teradata or equivalent) Research methodology, literature review and hypothesis-driven experimentation comfortable consuming research Python and AI prototyping skills Desirable: Needs to have at least some exposure here Semantic layers and metrics modelling Ontologies and knowledge representation Knowledge graphs and graph-based reasoning concepts Taxonomy and metadata design NL2SQL, Text-to-SQL and broader NL2* methods i.e. Conversational analytics and Dialogue with Data (DwD) approaches highly desirable LBG data architecture and data product concepts
Key Responsibilities
Retrieval methods, search strategies and RAG architectures LLM architectures, reasoning techniques and agentic systems Evaluation frameworks, experimentation and statistical methods Strong hands on SQL and data analysis skills (BigQuery/Teradata or equivalent) Research methodology, literature review and hypothesis-driven experimentation comfortable consuming research Python and AI prototyping skills Desirable: Needs to have at least some exposure here Semantic layers and metrics modelling Ontologies and knowledge representation Knowledge graphs and graph-based reasoning concepts Taxonomy and metadata design NL2SQL, Text-to-SQL and broader NL2* methods i.e. Conversational analytics and Dialogue with Data (DwD) approaches highly desirable LBG data architecture and data product concepts
Skill Requirements
Retrieval methods, search strategies and RAG architectures LLM architectures, reasoning techniques and agentic systems Evaluation frameworks, experimentation and statistical methods Strong hands on SQL and data analysis skills (BigQuery/Teradata or equivalent) Research methodology, literature review and hypothesis-driven experimentation comfortable consuming research Python and AI prototyping skills Desirable: Needs to have at least some exposure here Semantic layers and metrics modelling Ontologies and knowledge representation Knowledge graphs and graph-based reasoning concepts Taxonomy and metadata design NL2SQL, Text-to-SQL and broader NL2* methods i.e. Conversational analytics and Dialogue with Data (DwD) approaches highly desirable LBG data architecture and data product concepts
Other Requirements
Retrieval methods, search strategies and RAG architectures LLM architectures, reasoning techniques and agentic systems Evaluation frameworks, experimentation and statistical methods Strong hands on SQL and data analysis skills (BigQuery/Teradata or equivalent) Research methodology, literature review and hypothesis-driven experimentation comfortable consuming research Python and AI prototyping skills Desirable: Needs to have at least some exposure here Semantic layers and metrics modelling Ontologies and knowledge representation Knowledge graphs and graph-based reasoning concepts Taxonomy and metadata design NL2SQL, Text-to-SQL and broader NL2* methods i.e. Conversational analytics and Dialogue with Data (DwD) approaches highly desirable LBG data architecture and data product concepts