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Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design
- Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents
- Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization
- Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction
- Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities
- Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results
- Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk
- Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues
- Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance
Requirements
What you’ll need- 5+ years of experience in applied AI, conversational AI, analytics, or AI-powered customer experience solutions
- Hands-on experience with LLMs, prompt engineering, agent workflows, and tool/action-based AI systems
- Experience working with real-world customer interaction data (chat, tickets, email, call transcripts, or voice data)
- Strong analytical ability to diagnose and resolve AI behavior issues across prompts, knowledge, workflows, evaluation, and user experience
- Working knowledge of SQL and Python for data analysis, experimentation, and debugging AI behavior
- Ability to use Tableau, Power BI, or similar BI tools to analyze trends, quality signals, and performance metrics
- Experience collaborating with cross-functional teams including analytics, quality, product, and ML-Ops
- Comfortable working directly with enterprise customers and translating ambiguous requirements into clear, scalable AI solutions
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applied AIconversational AIanalyticsAI-powered customer experience solutionsLLMsprompt engineeringagent workflowsSQLPythondata analysis
Soft Skills
analytical abilitycollaborationmentoringproblem-solvingcommunication