We have an immediate need for a Senior Agentic Platform Engineer based in Sunnyvale, CA, working in a hybrid model to architect and deliver next-generation AI-driven intelligence platforms within a highly innovative environment.
In this role, you will act as the lead architect and hands-on engineer for building the enterprise Intelligence Layer, connecting multi-agent systems with knowledge graph architectures. You will design and implement advanced agentic workflows using LangGraph and LangChain, enabling stateful, cyclic, and human-in-the-loop AI processes. You will develop graph-native intelligence solutions by mapping enterprise ontologies into graph platforms like TigerGraph and building high-performance GSQL queries for complex reasoning. Additionally, you will own data product materialization in Snowflake using dbt, ensuring strong data quality, trust scoring, and governance. The role also includes deploying AI agents for internal data operations and external intelligence delivery, while designing scalable CI/CD pipelines and observability frameworks tailored for Generative AI systems.
The ideal candidate should have deep expertise in Python (including asynchronous programming, FastAPI, and Pydantic) and advanced SQL, along with strong experience in building production-grade AI/ML systems. Proven experience with multi-agent architectures, LLM integration (such as OpenAI GPT, Anthropic Claude, and Llama), and model orchestration is essential. Strong knowledge of graph technologies, ontology modeling (OWL, RDF, SKOS), and analytics engineering using dbt and Snowflake is required. Experience in CI/CD, DevOps practices, and spec-driven development approaches is critical. Exposure to vector databases, RAG architectures, metadata management tools, and data governance frameworks will be an added advantage. Strong problem-solving, leadership, and autonomous execution capabilities are key to success in this role.
Interested candidates are encouraged to connect with our recruiter
Suryansh
PRIMUS Global Services
Phone: Desk Ext. 261
Email:
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