We're looking for a Principal Generative AI Engineer to build AI systems that connect development workflows with production observability. You'll design and ship agentic tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals.
Your role at DynatraceWe are looking for a visionary, technically excellent engineer who is ready to design and ship production-grade agentic AI systems that bridge the gap between code context and runtime signals. You should thrive on a foundation of freedom, feedback, and responsibility, bringing a startup-like drive backed by the reach of a global platform.
- Design, build, and ship agentic AI systems and tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals.
- Build production LLM systems end to end, managing prompting, tool calling, retrieval, memory management, and the agent loops that tie them together.
- Define the evaluation strategies, metrics, and datasets that make agent quality measurable, ensuring we ship on evidence and catch regressions across model and prompt changes.
- Connect development workflows with production observability, turning code context and runtime signals into reliable, actionable insight, and collaborate with product, design, and platform teams to identify developer problems.
- Set technical strategy and architectural direction for the team's AI systems, mentor engineers across the organization, and take full ownership of systems using Dynatrace to monitor and optimize them.
You are a seasoned technical leader with a strong software engineering foundation and proven hands-on experience deploying complex LLM applications. You possess the engineering judgment to navigate ambiguous, fast-moving spaces and set clear architectural direction for your team.
- Degree in Software Engineering or equivalent practical experience in software development, combined with a track record of technical leadership and the judgment to set direction in an ambiguous, fast-moving space.
- Extensive experience shipping production systems that use LLMs, including prompting, tool calling, evaluation, and iteration.
- A strong foundation in at least one of: developer tooling (IDEs, compilers, static analysis, code intelligence), AI/ML engineering, or large-scale distributed systems.
- Hands-on experience with agentic patterns, specifically planning, tool use, retrieval, and memory management.
- The ability to evaluate and critique AI-generated output, understanding why a model is wrong, not just that it is, with familiarity with observability and the Dynatrace platform as a strong advantage.
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
- You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace.
The base salary range for this role is $146K - $220K. When determining your salary, we consider your experience, skills, education, and work location. Our total compensation package includes unlimited personal time off, an employee stock purchase plan, and a reward system.
We also offer medical/dental benefits and a company-matched 401(k) plan for retirement.
Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.
