Lead AI Engineer

Your role at Dynatrace

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As a part of a new team focused on accelerating AI adoption and usage, the AI Engineer will design and deploy AI-powered automation, and intelligent agents embedded directly into business operations. This role operationalizes generative AI using governed enterprise data, leveraging enterprise data as the data foundation, and enterprise tools for orchestration and execution.

The position partners with Data, IT, and business teams to automate workflows, support decision-making, and improve operational efficiency. The focus is on applying AI to real processes — not research or model training. This role will report up into the VP of AI, Collaboration and Data's team.

Your role at Dynatrace

AI & Copilot Development

• Build internal AI assistants and copilots for support, operations, and business teams
• Implement Retrieval Augmented Generation (RAG) using Snowflake data and curated metrics
• Ground AI responses using modeled enterprise data rather than documents alone
• Implement prompt strategies, guardrails, and response evaluation techniques

Workflow & Decision Automation

• Automate operational processes such as ticket triage, routing, approvals, and document handling
• Develop AI-driven classification, summarization, and recommendation services
• Implement human-in-the-loop workflows and exception handling
• Continuously improve workflows based on business outcomes and user feedback

Production Engineering & Integration

• Build and maintain AI-powered backend services, APIs, and microservices
• Integrate AI capabilities with enterprise systems (ITSM, CRM, ERP, and internal applications)
• Troubleshoot failures across data pipelines, orchestration, and model inference layers
• Participate in technical design and architecture discussions

Data Platform Integration

• Utilize Snowflake as the trusted data source for AI decisions
• Use dbt models as the semantic and bu...