At Sovos, we're transforming tax compliance through innovative technology and AI-powered solutions used by customers worldwide. We're looking for an LLM Ops Lead with 2-3 years of experience to help scale, govern, and operationalize Generative AI across the business while ensuring quality, safety, observability, and continuous improvement.
What You'll Do
Own AI quality standards, evaluation frameworks, and release gates across Ask Sovi products
Lead prompt and model versioning, regression detection, and AI governance initiatives
Coordinate Safety, Guardrails, and Red Team testing programs
Build observability practices across latency, cost, quality, and safety metrics using tools such as Langfuse
Manage Jira epics, ticket triage, and cross-functional coordination across Product and Engineering teams
Develop LLMOps playbooks, best practices, and operational standards
Lead AI incident response, troubleshooting, and root-cause analysis
What We're Looking For
2-3 years of experience in Applied AI, LLMOps, AI Quality Engineering, AI Operations, Test Automation, or related fields
Hands-on experience with Langfuse, LangSmith, or similar AI observability and evaluation tools
Strong understanding of AI quality, evaluation pipelines, prompt versioning, and AI governance
Experience with AI safety, guardrails, content moderation, audit logging, and release management
Strong stakeholder management and communication skills
Ability to support teams operating across UK business hours
Ideal Candidate Backgrounds
Applied AI Engineers from AI-native or AI-first organizations with hands-on Langfuse/LangSmith experience
Product-minded Engineers who combine strong technical skills with customer and business impact awareness
QA/Test Automation Engineers who have transitioned into AI evaluation, quality, or LLM testing
AI Quality Analysts with expertise in hallucination detection, model drift monitoring, LLM-as-a-Judge methodologies, and AI quality governance
Why Join Sovos?
Work on cutting-edge Generative AI products and platforms
Collaborate with global AI, Product, and Engineering leaders
Bi-Weekly Meeting Free Days
Mentoring and career development programs
Globally recognized training opportunities
Comprehensive health and wellness benefits
Flexible and collaborative work environment
Recruitment Process
CCAT & EPP Assessment → Automated Video Interview → Hiring Manager Interview → Final Interview
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