Lead AI Solution Engineer

We are seeking a Lead AI Solution Engineer to build scalable agentic and RAG-powered solutions that automate workflows and deliver actionable insights. You will partner with cross-functional teams to take AI systems from design to production with strong reliability and governance.

Responsibilities

Design end-to-end AI solution architectures that combine agentic workflows with RAG Lead technical discovery and translate business needs into scalable AI roadmaps Build AI agents and orchestration logic in Python for workflow automation and decision support Develop retrieval pipelines, grounding strategies, and context management for RAG use cases Integrate AI components into production environments with reliability, security, and observability in mind Define prompt strategies and evaluation approaches to improve quality over time Collaborate with cross-functional stakeholders to ship measurable AI capabilities Establish AI governance practices and ensure ethical, compliant development standards Coordinate development workflows to meet delivery commitments with US-hours overlap until 12 PM PST Requirements 5+ years of experience in software engineering or AI/ML development Lead-level collaboration skills for guiding technical direction across teams Cross-functional project experience delivering AI solutions from prototype to production Strong Python skills for building agentic systems and RAG pipelines Solid knowledge of Retrieval-Augmented Generation (RAG) patterns and retrieval design Hands-on experience with AI Agents Development, including persona-based behaviors Strong problem-solving skills in an agile delivery environment Upper-Intermediate English proficiency (B2) Nice to have Docker Google Agent Development Kit Google Cloud Platform Kubernetes LLM evaluation