Senior AI Engineer - Grafana AI​/ML Remote

Position: Senior AI Engineer - Grafana AI/ML USA Remote
# Senior AI Engineer
- Grafana AI/ML USA Remote Grafana Labs Be an Early Applicant Full TimeseniorCAPosted Today##

Role Overview Grafana Labs is hiring a Senior AI Engineer
- Grafana AI/ML USA Remote. This is a full-time role in CA. Part of Grafana Labs's Ml Engineering hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoringAWSGCPAzure Docker Kubernetes Terraform Dev Ops Salesforce Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score##

Job Description Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions.

Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.

Learn more at  and follow us on Linked In and X.We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.

Senior AI Engineer The Opportunity At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.

What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response.

As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing
* Build and deliver AI solutions:
Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
* Rapid experimentation and iteration:
Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and…