AI Forward Deployed Engineer - CRM & Marketing

Hard Rock Digital•United States, FL

About The Position

Hard Rock Digital is hiring an AI Forward Deployed Engineer to build and ship production agentic and generative AI features for CRM and Marketing. The role supports acquiring, engaging, and retaining players across sportsbook, casino, and social casino, working alongside CRM, Growth, Data Science, and AI Platform teams. It involves hands-on work with agents, prompt engineering, and retrieval-augmented generation (RAG) over customer and product data. Responsible gaming and compliance must be incorporated into work in this regulated industry. The engineer will build features across Python and FastAPI backends and Next.js frontends; support personalization and decisioning; generate and optimize lifecycle and marketing content; model customer lifecycle states and journeys; and integrate with Braze. The role also develops data and retrieval foundations over Snowflake and dbt marts and measures impact through attribution, return on ad spend, and experiments. The position is based in Canada, with a hybrid or remote working environment offered.

Requirements

At least 4 years of experience in software or AI engineering, or a relevant degree.
Strong Python skills and experience building and operating production services, including REST APIs, microservices, and containers.
Hands-on experience integrating LLMs such as Anthropic Claude, OpenAI GPT, or Amazon Bedrock, and strong prompt and system-prompt engineering skills.
Familiarity with RAG and experience with vector databases such as Pinecone, Faiss, or pgvector.
Strong SQL skills and experience with a modern cloud data warehouse; Snowflake is preferred.
Hands-on experience with a CRM or marketing-automation platform; Braze is strongly preferred.
Working understanding of customer lifecycle, segmentation, personalization, and lifetime value.
Experience with a cloud platform such as AWS, GCP, or Azure and its AI and ML services.

Nice To Haves

Experience with agentic frameworks and automation such as MCP, ADK, or n8n.
Experience with dbt and analytics-engineering practices, including data-quality testing.
Frontend experience with React or Next.js; the role can flex full-stack.
Experience with Kubernetes and Helm, plus OAuth2 and enterprise identity (Entra) for service authentication.
Experience with recommendation systems, marketing attribution, or generative content at scale.

Responsibilities

Build and ship agentic and generative AI features for CRM and marketing, from Python and FastAPI backends to Next.js frontends.
Power personalization and decisioning, including next-best-offer, recommendations, and audience and value-based segmentation using behavioral and lifetime-value signals.
Generate and optimize lifecycle and marketing content with LLMs, ensuring content is on-brand, localized, and compliant with responsible-gaming rules.
Model customer lifecycle states and journeys, and identify growth levers that affect retention and lifetime value.
Integrate with Braze, including Canvas and Journey orchestration, and synchronize lifecycle state to user profiles.
Build data and retrieval foundations, including RAG, vector search, and MCP servers over Snowflake and dbt marts.
Measure impact through attribution, ROAS, and treated-versus-holdout experiments involving acquisition, retention, and lifetime value.
Ship reliably in production and keep pace with advances in AI and marketing technology.