Required Qualifications

Proven experience designing and implementing multi-agent systems and agentic workflows
Deep understanding of agent orchestration, communication protocols, and inter-agent coordination patterns
Experience with agent-driven automation in data pipelines, ETL workflows, or similar complex distributed systems
Knowledge of prompt engineering, agent reasoning patterns, and retrieval-augmented generation (RAG) for data-specific contexts
Familiarity with agentic AI frameworks and LLM integration patterns for data engineering use cases

Proficiency in Python and SQL for agentic system and data pipeline development
Hands-on experience with Databricks (Delta Lake, Spark, Notebooks, Jobs, DLT, AgentBricks) and agentic job orchestration
Deep understanding of data lake and lakehouse architecture patterns, including medallion architecture and autonomous layer promotion
Strong expertise in ETL/ELT design patterns, distributed data processing, and autonomous pipeline patterns
Experience implementing ABAC (Attribute-Based Access Control) and Row-Level Security (RLS) frameworks with autonomous enforcement
Familiarity with Unity Catalog for data governance and autonomous metadata management
Experience with multi-region data architecture, federation, data residency requirements, and cross-region agent coordination
Required: AWS cloud platform expertise
Proficiency with version control (Git), CI/CD pipelines, and GitOps for agent configuration management
Understanding of data quality frameworks, autonomous validation patterns, and self-healing pipelines
Strong background in asynchronous processing, event-driven architectures, and message queuing for agent communication

Working knowledge of insurance industry terminology, business processes, and data models
Familiarity with common insurance data entities: Party, Claims, Fiduciary
Understanding of regulatory requirements relevant to insurance and how they apply to autonomous systems

Strong problem-solving and analytical thinking abilities applied to complex system design
Excellent communication skills to explain agentic architectures and technical concepts to non-technical stakeholders
Collaborative mindset with experience working in cross-functional teams and translating business requirements into agent specifications
Ability to manage multiple priorities and projects involving large-scale, autonomous systems

Expected Deliverables

Multi-agent system architecture documentation with agent roles, communication flows, and coordination patterns
Autonomous ETL/ELT pipeline implementations with agents managing data quality and transformations
Agent-driven governance frameworks enforcing ABAC and Row-Level Security (RLS) across multi-region deployments
Monitoring and observability solutions for multi-agent data systems
Runbooks and operational guides for managing agentic data platforms