Description

You will design, architect, and implement agentic AI solutions to reduce cycle time for analytics, log analysis, and reporting.

Responsibilities

• Design agent orchestration patterns including multi-agent workflows, tool/function calling, and memory approaches for enterprise deployments.
• Define secure and scalable data access patterns for agents, managing retrieval, context building, and grounding with existing data sources.
• Partner with product, analytics, and engineering stakeholders to intake requirements and deliver working prototypes and production-ready solutions.
• Engineer reusable components and best practices aligned to an existing base framework to enable scalable delivery.
• Operationalize solutions for reliability by implementing testing strategies, monitoring/observability, prompt/version management, and deployment automation.

Required Skills

• 5+ years of experience in software engineering or AI development.
• Hands-on experience with AWS as a primary deployment environment.
• Proficiency with Databricks, including native capabilities and agent integrations.
• Experience with agent frameworks such as LangChain and LangGraph.
• Strong understanding of conversational BI approaches and agent-driven analytics.
• Ability to design secure data access patterns and scalable architectures.
• Experience with testing strategies, monitoring, and deployment automation.

Preferred Skills

• Experience evaluating build vs. buy options pragmatically.
• Familiarity with enterprise governance expectations for AI solutions.

Key Skills

Education

Any Gradute