Principal Ai Solutions Architect

This vacancy is open for different locations including Brazil, Uruguay, Colombia and MexicoPosition overviewAs an AI Solutions Architect within DataArt's Travel, Transportation & Hospitality practice, you will bridge the gap between advanced AI tools and real-world business impact.You'll operate at the intersection of hands-on prototyping, cross-functional collaboration, and stakeholder education.Your focus: drive measurable client outcomes through AI-enabled efficiencies and new digital experiences.You will shape how AI is adopted across the travel industry — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C-suite to delivery teams.You will work closely with client account teams (50+ active clients) and DataArt's AI + Data Lab to identify high-value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.ResponsabilitiesLead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leadersRapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignmentOwn the "show-and-tell" lifecycle: internal demo ? stakeholder validation ? external client presentationDevelop GenAI applications based on RAG variations, Agentic, hybrid models.Leverage AI in SDLC and advocate for adoption.Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)Define reusable AI building blocks and Travel-specific agent scaffolds that feed into the Connect AI ecosystemBuild working solutions integrated with cloud data platforms like Snowflake and DatabricksEmbed AI into client-facing products or operations (e.g., personalization, crew ops, service automation)Shape internal best practices for GenAI use in SDLC and Travel product lifecycle — from opportunity discovery to ops telemetryCreate AI demo assets: notebooks, dashboards, blog content, or walkthrough videosRun workshops and working sessions with client teams and business leadersAct as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROIRequirementsHands-on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholdersExperience with designing and implementing RAG based applicationsStrong background with Snowflake and/or Databricks for data engineering and AI pipelinesProven success leading client-facing PoCs or MVPs from inception to deliveryPrior exposure to the travel, transportation, or hospitality sectorAbility to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable componentsFluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architecturesStrong communicator comfortable with both technical teams and business stakeholdersUSA Visa (client visits will be required)Nice to haveKnowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)Experience developing internal enablement materials or technical contentAwareness of responsible AI practices (e.g., model fairness, explainability, usage boundaries)What we offerFull remotePaid days offIllness/special days off per yearNon-working days on national holidaysInternal psychological support serviceCertification reimbursement (AWS, GCP, Microsoft, etc.)English language classes from the first working day