Senior Services Solutions Architect – AI, Advanced Services

Responsibilities: Shape AI Services Strategy and capabilities to accelerate adoption Translate customer AI use cases into data/platform/service requirements Architect AI data solutions across data prep, retrieval, embeddings, and model integration Develop DataStream-based discovery, deployment patterns, sizing, and production-readiness for AI pipelines Lead pilot-led innovation from discovery to MVP and pilot phases Productionize AI solutions with governance, observability, and lifecycle management Bridge pre-sales and delivery with stakeholders to convert opportunities into engagements Influence product and services direction from field learnings to improve architectures

Key requirements: Proven AI/ML or GenAI solution experience in enterprise environments Strong data preparation, ingestion, transformation, retrieval pipelines, embeddings, vectorization Knowledge of RAG, knowledge graphs, vector databases, retrieval optimization Understanding of MLOps/LLMOps, observability, deployment automation, lifecycle management Experience with modern AI platforms and infrastructure (cloud, Kubernetes, GPU, storage, networking) Hands-on credibility between architecture and implementation Professional services experience with enterprise customers Cross-functional technical leadership across product, engineering, sales, services, partners, and customers Strong communication with senior technical stakeholders Collaborative cross-functional leadership Problem-solving with pragmatism and risk awareness AI/ML solution design and prototyping Data preparation, ingestion, transformation, retrieval pipelines Embeddings, vectorization, retrieval strategies