EI
AI Delivery Engineer
Expert In Recruitment Solutions
🇺🇸 United States
On-site
Manager or above
7 months ago
- AI
- Snowflake
- Cortex
- RAG
- Streamlit
- AI/ML
- Machine Learning
- Vector Search
- MLOps
- dbt
- Python
- AWS
- Azure
- GCP
- MLflow
- LangChain
7 months ago
The ideal candidate will have a strong background in Snowflake data warehousing, semantic model development, RAG architectures, chatbots, and Streamlit-based AI apps.
Prior Property & Casualty (P&C) insurance domain knowledge is preferred but not required.
This is a hands-on leadership role working closely with business stakeholders, data engineering teams, and AI solution architects to drive end-to-end delivery of AI/ML and analytics capabilities.
Key Responsibilities
AI Program & Delivery Leadership
• Conceptualize, develop POC and lead end-to-end delivery and operationalization of AI/ML and GenAI solutions.
• Manage cross-functional teams including data engineers, ML engineers, analysts, and application developers.
• Develop and maintain delivery roadmaps, status reports, and stakeholder communications.
• Ensure high-quality delivery aligned with business objectives, timelines, and compliance requirements.
Solution Architecture & Technical Leadership
• Work with Enterprise Architect and oversee solutions using:
o Snowflake Cortex Analyst and Snowflake Intelligence features (e.g., Cortex functions, vector search, data classification).
o Agentic AI architectures, including chaining, orchestration, and autonomous task execution.
o Retrieval Augmented Generation (RAG) integrations and configuration for enterprise use cases.
• Guide the creation of semantic models to support analytics and AI consumption layers.
• Oversee development of Streamlit apps, custom UI frontends, and AI-enabled workflows.
• Provide leadership for modern chatbot development, including LLM orchestration, grounding, and prompt engineering.
Collaboration & Stakeholder Engagement
• Translate business problems into actionable AI/ML use cases and technical requirements.
• Collaborate with Product, IT, Data Governance, and Business Units to drive adoption of new capabilities.
• Partner with Snowflake technical teams to leverage new features and optimize architecture.
Governance, Security & Best Practices
• Ensure delivery follows enterprise standards for data quality, security, privacy, and model governance.
• Support implementation of MLOps / LLMOps processes to ensure scalable and reliable deployments.
• Promote standardization, reusable components, and best practices in AI solution development.
Required Qualifications
• 5+ years of experience in data/AI solution delivery, including project or program management.
• Strong knowledge of Snowflake datawarehouse
• Hands-on experience with Snowflake Cortex capabilities and integrating LLM-powered features.
• Experience developing and deploying:
o Semantic models (dbt, LookML, or similar)
o Agentic AI workflows
o RAG pipelines
o Chatbots using LLM frameworks
o Python-based Streamlit applications
• Solid understanding of cloud platforms (AWS, Azure, or GCP).
• Strong communication, stakeholder management, and delivery oversight skills.
Preferred Qualifications
• Experience in Property & Casualty insurance (Underwriting, Claims, Policy, Billing, Risk).
• Familiarity with vector databases, embedding models, and LLM tuning strategies.
• Exposure to LLMOps tooling (MLflow, Snowflake Model Registry, LangChain, or similar).
• Certification in Snowflake or cloud platforms.
Soft Skills
• Strong leadership and team collaboration skills.
• Ability to manage multiple streams of work in a fast-paced environment.
• Excellent analytical, problem solving, and communication skills.
• Thought leadership mindset with ability to guide stakeholders through AI transformation
AI Delivery Engineer · Expert In Recruitment Solutions