AI Specialist (Applied AI) - LLM Workflows, RAG Systems, and Agentic Automation
Design and deliver applied AI solutions for clients, including LLM-powered workflows, retrieval systems, and agentic automation integrated into business systems. Work directly with clients in discovery, solution design, demos, and delivery while partnering with prompt-development teams. Requires 4+ years of AI/ML experience, strong Python skills, client-facing abilities, and fluency in English with US business hours overlap.
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Job Description
Caravel | BPM Technology Solutions
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AI Specialist (Applied AI)
AI Practice / Emerging Technology (TSS) · Full-time · Fully remote — South America (US hours) · Reports to: AI Practice Lead
About Caravel
Caravel | BPM Technology Solutions is an award-winning NetSuite and Salesforce partner and part of BPM LLP, a Top-40 accounting and advisory firm. For 20+ years and 1,000+ implementations we've helped businesses across North America put the right technology to work — honestly, and without the usual consulting theater. We're a fully remote team with delivery centers across the US, Canada, India, and the Philippines, and we're standing up an AI practice to match.
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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
Full-time, fully remote within South America, working core US business hours for client and team collaboration.
Why Caravel
You'll help stand up Caravel's AI delivery team — close to our clients, close to the work — inside a firm with 20+ years of delivery credibility and a bias for honest, useful solutions over hype.
Compensation & benefits
Competitive base commensurate with experience, a fully remote setup, and the opportunity to help shape a new AI practice from the ground up.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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