Senior Agentic Platform Engineer

We are seeking a 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.

Core Delivery Categories

• Agentic Systems & Orchestration:
  Lead the build-out of a multi-agent architecture using Lang Graph. You will design cyclic, stateful workflows, implement persistence, and manage Human-in-the-Loop (HITL) checkpoints.
• Graph-Native Intelligence:
  Autonomously design the ""Ontology-to-Schema"" pipeline, mapping OWL/SKOS enterprise ontologies into Tiger Graph. You will develop high-performance GSQL and architect multigraph memory systems for agentic reasoning.
• Trusted Data Materialization:
  Own the materialization of data products in Snowflake using dbt, specifically focusing on the DQ rules engine and automated Trust Score computation.
• Internal & External Skill Development:
  Design and deploy agents tailored for Internal Data Ops (automating metadata harvest and DQ remediation) as well as External-Facing Skills that provide governed, high-trust insights to end-users.
• Technical Expertise & Experience Requirements
• 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 Lang Graph (State Graph, Command, and Persistence) and Lang Chain.
• 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.
• Tiger Graph & GSQL Specialist (5+ years):
  Expert-level proficiency in GSQL development, including writing distributed graph algorithms and optimizing complex sub-queries.

Preferred Experience

• 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 Data Hub 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.

Role Expectations for Contractors

• Autonomous Execution:
  You are expected to take high-level architectural goals and drive them through to a deployed, documented, and production-tested state without daily supervision.
• Team Support & Force Multiplication:
  Act as a technical anchor for the internal team, removing blockers in the agent-graph interface and ensuring architectural consistency.
• Stability & Observability:
  Your focus is on building resilient systems that are observable, scalable, and governed, prioritizing long-term system health over simple prototyping.