Senior Agentic Platform Engineer
Sunnyvale, Texas, United States of America
Contract
1 week ago
Key skills
PythonSQLAILLMLarge Language ModelsOpenAIClaudeAnthropicLlamaRAGLangChainAgenticLangGraphPineconeWeaviateData EngineeringAnalyticsSnowflakedbtFastAPISalesforceCRMCI/CDSales
About this role
Job Title : Senior Agentic Platform Engineer
Location : Sunnyvale, CA 94085 (Onsite)
Duration : 12+ Months
Detailed job description - Skill Set*:
Senior Agentic Platform Engineer to serve as the lead architect and implementer for our Intelligence Layer. This role is designed for a senior individual contributor who can operate with high autonomy to design, develop, and deploy production-ready solutions that optimize both internal data operations and external-facing intelligence.
You will be responsible for the end-to-end delivery of the connective tissue between our multi-agent architecture and our knowledge graph, supporting the existing team by accelerating technical milestones and hardening the CI/CD processes required for reliable AI deployment
Mandatory Skills
- 10+ years of Senior Software & Data Engineering experience, with a proven track record of production delivery within a global enterprise environment.
- Advanced Agentic Orchestration (2+ years): Deep, hands-on mastery of LangGraph (StateGraph, Command, and Persistence) and LangChain.
- Multi-LLM Mastery: Expert implementation of frontier models (including Anthropic Claude, OpenAI GPT, and Llama) and the Model Context Protocol (MCP) for standardized tool-calling and context injection across model providers.
- TigerGraph & GSQL Specialist (5+ years): Expert-level proficiency in GSQL development, including writing distributed graph algorithms and optimizing complex sub-queries.
- Knowledge Modeling: Direct experience modeling enterprise ontologies using OWL, SKOS, or RDF and successfully mapping them to Labeled Property Graph (LPG) schemas.
- Analytics Engineering Mastery (5+ years): Expert-level dbt (Core/Cloud) and Snowflake architecture, with specific experience building automated Data Quality (DQ) monitors and trust-score pipelines.
- Development Stack: High proficiency in Python (specifically Asynchronous programming, FastAPI, and Pydantic) and advanced SQL.
- Internal Data Ops Optimization: Demonstrated experience building agents and skills specifically designed to automate Data Governance and Data Operations (e.g., automated glossary curation, schema discovery, and policy enforcement).
Good to Have Skills
- Unstructured Data & Vectors: Experience with unstructured data management and the implementation of vector databases (e.g., Pinecone, Weaviate, or Snowflake Cortex Search) within RAG architectures.
- Enterprise Metadata Management: Hands-on experience with DataHub or similar data catalog and metadata management solutions to drive automated discovery.
- Domain Expertise: Familiarity with Sales B2B and B2C data processes and associated tooling (e.g., Salesforce), including experience navigating CRM schemas for agentic tool-calling.
- Governance & Security: Familiarity with data privacy and security frameworks (GDPR, SOC2) as they apply to autonomous agents and Large Language Models.
- Community Engagement: Contributions to open-source agentic frameworks or participation in the development of the Model Context Protocol (MCP) ecosystem.