Principal AI Solutions Architect – Travel & Hospitality

Principal AI Solutions Architect – Travel & Hospitality New York

Medium team (10-20 people)

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Position overview As 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.

The estimated salary range for this position is between 180,000 USD to 250,000 USD per year.

Responsibilities

Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders

Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)

Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment

Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation

Develop 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 ecosystem

Build working solutions integrated with cloud data platforms like Snowflake and Databricks

Embed 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 telemetry

Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos

Run workshops and working sessions with client teams and business leaders

Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI

Requirements

Hands-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 stakeholders

Experience with designing and implementing RAG based applications

Strong background with Snowflake and/or Databricks for data engineering and AI pipelines

Proven success leading client-facing PoCs or MVPs from inception to delivery

Prior exposure to the travel, transportation, or hospitality sector

Ability to translate fuzzy business goals into AI-enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components

Fluency in evaluating tradeoffs between open-source LLMs and commercial APIs, and designing cost-efficient, scalable architectures

Strong communicator comfortable with both technical teams and business stakeholders

Ability to travel to client site (UK, EU)

Nice to have

Knowledge of GenAI fine-tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)

Experience developing internal enablement materials or technical content

Awareness of responsible AI practices (e.g., model fairness, explainability, usage boundaries)

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