Caravel | BPM Technology Solutions
AI Specialist (Applied AI)
AI Practice / Emerging Technology (TSS) · Full-time · Fully remote — South America (US hours) · Reports to: AI Practice Lead
About the role
As an AI Specialist at Caravel, you'll design and deliver applied AI solutions for our clients — from LLM-powered workflows and retrieval systems to agentic automation that plugs into the systems businesses actually run on. You'll be client-facing, working US hours from South America, and you'll partner with our prompt-development pod to take solutions from design to production. If you like solving real business problems with AI — not building demos — this is your seat.
What you'll do
- Scope, design, and deliver applied AI solutions — LLM workflows, RAG systems, agentic automation, and model evaluation — integrated into client and business systems.
- Work directly with clients through discovery, solution design, demos, and delivery, translating business problems into AI that holds up in production.
- Define patterns and specifications for the prompt-development pod to build against; review and guide their production builds.
- Establish evaluation criteria and measure solution quality, accuracy, and ROI.
- Advise clients on AI readiness, data, and responsible, safe deployment.
- Contribute to Caravel's reusable AI accelerators and go-to-market offerings.
What you'll bring
- 4+ years in AI/ML, data science, or applied AI engineering, including hands-on work with LLMs in production or near-production settings.
- Strong Python and modern AI tooling; experience with RAG, embeddings/vector stores, and at least one major LLM provider or framework.
- Client-facing skills — you can lead a working session, explain trade-offs to non-technical stakeholders, and manage scope.
- Fluent English and consistent overlap with US business hours.
- A pragmatic, outcomes-first approach — you optimize for client value, not novelty.
Bonus points
- Consulting or professional-services background.
- Exposure to ERP/CRM platforms (NetSuite, Salesforce) or finance/operations data.
- Experience standing up evaluation, observability, or guardrail frameworks.
- Cloud (AWS/Azure/GCP) and MLOps familiarity.
Location & schedule