Senior Agentic Platform Engineer

Role: Senior Agentic Platform Engineer
Mode: Hybrid (3 days/week)
Duration: Full-time
Location: Austin, TX or Sunnyvale, CA
Relocation: Accepted

Role Overview

We are seeking a Senior Agentic Platform Engineer to lead the design and implementation of an enterprise Intelligence Layer. This role involves building production-grade multi-agent systems, integrating knowledge graphs, and enabling scalable AI-driven data operations.

You will work as a senior individual contributor responsible for architecting and delivering robust, observable, and governed agentic systems while enabling CI/CD and AI deployment best practices.

Must-Have Skills

• 10+ years of Software & Data Engineering experience in enterprise environments
• Strong hands-on expertise in Python, PySpark, and SQL
• Deep experience in AI Agentic systems, especially LangGraph and LangChain
• Hands-on experience with TigerGraph (GSQL) or similar graph databases (critical)
• Experience with DataHub or similar data catalog / metadata platforms
• Strong understanding of LLM and RAG architectures
• Experience with CI/CD, DevOps, and production deployment pipelines
• Strong knowledge of Data Governance and Data Privacy frameworks

Key Responsibilities

• Design and implement multi-agent architectures using LangGraph
• Build ontology-to-graph pipelines using TigerGraph and GSQL
• Develop LLM-based systems using OpenAI, Anthropic, and Llama models
• Implement MCP-based tool-calling and context injection
• Build data quality and trust-score pipelines using dbt and Snowflake
• Enable automation for data governance, metadata discovery, and schema management
• Establish CI/CD pipelines optimized for GenAI and agentic systems
• Ensure system observability, scalability, and production readiness

Preferred Skills

• Vector databases (Pinecone, Weaviate, Snowflake Cortex Search)
• Experience with DataHub or enterprise metadata tools
• Knowledge of CRM systems like Salesforce and sales data models
• Familiarity with GDPR, SOC2, and data security frameworks
• Exposure to open-source AI/agentic frameworks or MCP ecosystem

Role Expectations

• Fully autonomous execution from architecture to production deployment
• Act as technical anchor for the team and unblock engineering challenges
• Build scalable, governed, and observable AI systems