Principal AI Systems Architect - Director
About The Position
As a Principal AI Systems Architect, you will be a pivotal leader in shaping the future of our AI platforms. You will drive the architectural integrity and long-term technical roadmap, specializing in hands-on RAG (Retrieval-Augmented Generation) architecture, large-scale repository ingestion, and deep LLM system design. Your expertise will be crucial in optimizing retrieval, building robust embeddings pipelines, and integrating knowledge graphs, all while ensuring cost-aware AI architecture and scalability across distributed systems. You will lead the design and implementation of AI Gateway and orchestration, including multimodal system designs. This role demands a very deep understanding of AI/ML/LLM domains and exceptional engineering and systems design capabilities, with a focus on delivering impactful product features and robust MLOps practices.
Requirements
- Very deep AI/ML/LLM domain expertise.
- Deep engineering/systems design knowledge.
- Proven experience in product/feature delivery and ML Ops.
- Proficiency with Vector DB, Graph DB, RDBMS (e.g., PostgreSQL + pgvector, Neo4j), and MCP Architectures.
- Experience with Google ADK/Vertex AI, retrieval optimization, embeddings pipelines, knowledge graph integration, AI Gateway, and orchestration.
- Knowledge of multimodal system design, rapid toolset evaluation, and cost-aware AI architecture.
Nice To Haves
- Understanding of compiler theory/programming languages/AST/parsers and scaling distributed systems.
- Demonstrated achievements such as contributions to foundational AI libraries (e.g., LangChain, LlamaIndex, AutoGen) or significant open-source projects.
Responsibilities
- Drive the architectural integrity and long-term technical roadmap for AI platforms.
- Design and implement Vector DB, Graph DB (e.g., Neo4j), and RDBMS (e.g., PostgreSQL + pgvector) solutions, and MCP Architectures.
- Leverage Google ADK/Vertex AI for AI solutions and ensure retrieval optimization and robust embeddings pipelines.
- Integrate knowledge graphs, and develop AI Gateway and orchestration frameworks.
- Architect multimodal system designs, focusing on rapid toolset evaluation and cost-aware AI architecture.
- Apply principles from the theory of compilers/programming languages/AST/parsers to scale distributed AI systems effectively.
Benefits
- A diverse and inclusive environment that embraces change, innovation, and collaboration
- A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
- Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
- Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
- Educational resources, matching gift and volunteer programs
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
