Harvest Group
Harvest Group is a trusted integrated commerce agency that specializes in serving CPG suppliers looking to grow their business at Walmart, Target, Amazon, Kroger, Sam’s Club, Costco, and Harris Teeter. Harvest Group offers a connected commerce solution leading their clients with account management, digital content management, retail media management, and replenishment services. Established in 2006, our multi‑functional team of retail experts leverages first‑class systems and technologies to support our clients along every step of the retail journey.
At Harvest Group, our culture and values are at the core of everything we do. This is evident in every area of our business – in our people, relationships, processes, and ultimately in how we serve our clients. This approach has humbly allowed us the opportunity to receive the following awards:
Inc Best Places to Work - 2025
Great Place to Work Certified – 2024
Fortune’s Best Workplaces for Women – 2024
Fortune’s Best Medium Workplaces – 2024
Fortune’s Best Consulting & Professional Services - 2024
Business Intelligence Group Best Places to Work - 2023
Harvest Group Values
Integrity: Doing what is right in all things
Relationship: Pursuing depth, trust, and collaboration
Service: Laboring for others with humility and care
Excellence: Delivering extraordinary performance and results with humility
Journey: Embracing our past and planning for our future with faith
Description Harvest Group is searching for a
Senior AI Data Architect
to work with business and technology stakeholders to deliver an AI‑driven data experience by overlaying large language models on top of our data warehouse. This role is primarily focused on discovering, designing, and building the semantic and technical layers that enable secure, accurate, conversational access to our data. The Sr. Data Architect will coordinate closely with other technology teams to create an enterprise‑ready, production‑grade conversational intelligence capability. You’ll be exposed to varied datasets from many providers and will make that data safely available through an LLM‑powered interface. To do this, you’ll need to grasp how the business operates, how the data is useful, how it’s structured, and how it relates across domains—then translate that knowledge into a scalable architecture that LLMs can understand and use. Join our team to learn the intricacies of the consumer packaged goods (CPG) retail industry and lead data democratization via AI and cloud solutions to grow our clients’ businesses.
Our approach to servicing our employees is grounded in our values. To deliver excellence for our Harvest Group employees, we do require that this role is based in Rogers (AR) or Cincinnati (OH). If you are applying but do not currently reside in one of these markets, please note that relocation will not be covered by Harvest Group.
Responsibilities
Review and evolve current data structures—models, schemas, and naming/metadata conventions—in our data warehouse to make them more LLM/AI‑ready (clear semantics, consistent business definitions, performant patterns, and governed access).
Design, implement, and maintain the semantic and metadata layers that sit between LLMs and our data warehouse to enable governed, conversational access to data.
Build and operationalize unstructured contextual data pipelines (e.g., documents, PDFs, presentations, images, logs, tickets), including ingestion, parsing/OCR, chunking, metadata extraction, embedding generation, indexing, and integration into the AI/RAG platform.
Architect secure RAG (retrieval‑augmented generation) patterns, including query planning, grounding, and context assembly from our data warehouse and related systems.
Stand up rapid proofs of concept and experiments; iterate quickly to de‑risk approaches, then harden winning patterns into enterprise‑ready solutions.
Partner with business end‑users to understand questions and decisions, then translate them into schemas, policies, and conversational intents the system can reliably support.
Create clear technical documentation and enablement materials for internal users and support teams.
Requirements
One or more of: 5+ years in a data architecture role designing analytic data models and platform components (cloud preferred)
5+ years in data engineering across ingestion, transformation, modeling, and performance optimization
1+ years building LLM‑powered applications or services (e.g., ChatGPT, Azure OpenAI, or comparable) including retrieval, function/tool use, or agents
Strong proficiency with Snowflake (data modeling, performance, governance, role‑based security)
Proficient in SQL and a programming language such as Python for data and LLM orchestration
Demonstrated ability to communicate with both technical and non‑technical partners and to lead through influence
Proven track record of shipping systems from prototype to production with attention to reliability, cost, and maintainability
Preferred Qualifications
Experience with Snowflake AI capabilities (e.g., vector search, UDFs/UDTFs, external functions) and/or Snowflake Intelligence/Cortex concepts
Hands‑on use of LLM frameworks and evaluation tooling; familiarity with prompt engineering and function/tool calling
Experience building or managing a semantic layer (e.g., dbt Semantic Layer, Looker semantic model, AtScale, Cube, or similar) to mediate between users/LLMs and data
Practical knowledge of vector databases and embeddings (e.g., pgvector, Pinecone, FAISS) and when to prefer native warehouse approaches
Experience with orchestration and CI/CD for data/AI workloads (dbt, Airflow/Dagster, git‑based workflows)
Background in data governance and security for AI use cases (masking, row/column‑level security, lineage, auditing)
Working in an Agile Scrum framework with rapid, iterative delivery
CPG retail industry experience and familiarity with retailer data ecosystems
Equality, Diversity & Inclusion Statement Harvest Group is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, age, marital status, familial status, national origin, ancestry, disability or handicap, sexual orientation, gender identity or expression, veteran status, and any other characteristic protected by applicable federal, state, or local laws. We provide and maintain a work environment that fosters diversity, inclusivity, authenticity, mutual respect, professionalism, and growth.
We encourage all interested candidates to apply.
#J-18808-Ljbffr
At Harvest Group, our culture and values are at the core of everything we do. This is evident in every area of our business – in our people, relationships, processes, and ultimately in how we serve our clients. This approach has humbly allowed us the opportunity to receive the following awards:
Inc Best Places to Work - 2025
Great Place to Work Certified – 2024
Fortune’s Best Workplaces for Women – 2024
Fortune’s Best Medium Workplaces – 2024
Fortune’s Best Consulting & Professional Services - 2024
Business Intelligence Group Best Places to Work - 2023
Harvest Group Values
Integrity: Doing what is right in all things
Relationship: Pursuing depth, trust, and collaboration
Service: Laboring for others with humility and care
Excellence: Delivering extraordinary performance and results with humility
Journey: Embracing our past and planning for our future with faith
Description Harvest Group is searching for a
Senior AI Data Architect
to work with business and technology stakeholders to deliver an AI‑driven data experience by overlaying large language models on top of our data warehouse. This role is primarily focused on discovering, designing, and building the semantic and technical layers that enable secure, accurate, conversational access to our data. The Sr. Data Architect will coordinate closely with other technology teams to create an enterprise‑ready, production‑grade conversational intelligence capability. You’ll be exposed to varied datasets from many providers and will make that data safely available through an LLM‑powered interface. To do this, you’ll need to grasp how the business operates, how the data is useful, how it’s structured, and how it relates across domains—then translate that knowledge into a scalable architecture that LLMs can understand and use. Join our team to learn the intricacies of the consumer packaged goods (CPG) retail industry and lead data democratization via AI and cloud solutions to grow our clients’ businesses.
Our approach to servicing our employees is grounded in our values. To deliver excellence for our Harvest Group employees, we do require that this role is based in Rogers (AR) or Cincinnati (OH). If you are applying but do not currently reside in one of these markets, please note that relocation will not be covered by Harvest Group.
Responsibilities
Review and evolve current data structures—models, schemas, and naming/metadata conventions—in our data warehouse to make them more LLM/AI‑ready (clear semantics, consistent business definitions, performant patterns, and governed access).
Design, implement, and maintain the semantic and metadata layers that sit between LLMs and our data warehouse to enable governed, conversational access to data.
Build and operationalize unstructured contextual data pipelines (e.g., documents, PDFs, presentations, images, logs, tickets), including ingestion, parsing/OCR, chunking, metadata extraction, embedding generation, indexing, and integration into the AI/RAG platform.
Architect secure RAG (retrieval‑augmented generation) patterns, including query planning, grounding, and context assembly from our data warehouse and related systems.
Stand up rapid proofs of concept and experiments; iterate quickly to de‑risk approaches, then harden winning patterns into enterprise‑ready solutions.
Partner with business end‑users to understand questions and decisions, then translate them into schemas, policies, and conversational intents the system can reliably support.
Create clear technical documentation and enablement materials for internal users and support teams.
Requirements
One or more of: 5+ years in a data architecture role designing analytic data models and platform components (cloud preferred)
5+ years in data engineering across ingestion, transformation, modeling, and performance optimization
1+ years building LLM‑powered applications or services (e.g., ChatGPT, Azure OpenAI, or comparable) including retrieval, function/tool use, or agents
Strong proficiency with Snowflake (data modeling, performance, governance, role‑based security)
Proficient in SQL and a programming language such as Python for data and LLM orchestration
Demonstrated ability to communicate with both technical and non‑technical partners and to lead through influence
Proven track record of shipping systems from prototype to production with attention to reliability, cost, and maintainability
Preferred Qualifications
Experience with Snowflake AI capabilities (e.g., vector search, UDFs/UDTFs, external functions) and/or Snowflake Intelligence/Cortex concepts
Hands‑on use of LLM frameworks and evaluation tooling; familiarity with prompt engineering and function/tool calling
Experience building or managing a semantic layer (e.g., dbt Semantic Layer, Looker semantic model, AtScale, Cube, or similar) to mediate between users/LLMs and data
Practical knowledge of vector databases and embeddings (e.g., pgvector, Pinecone, FAISS) and when to prefer native warehouse approaches
Experience with orchestration and CI/CD for data/AI workloads (dbt, Airflow/Dagster, git‑based workflows)
Background in data governance and security for AI use cases (masking, row/column‑level security, lineage, auditing)
Working in an Agile Scrum framework with rapid, iterative delivery
CPG retail industry experience and familiarity with retailer data ecosystems
Equality, Diversity & Inclusion Statement Harvest Group is an equal opportunity employer that does not discriminate on the basis of race, creed, color, religion, age, marital status, familial status, national origin, ancestry, disability or handicap, sexual orientation, gender identity or expression, veteran status, and any other characteristic protected by applicable federal, state, or local laws. We provide and maintain a work environment that fosters diversity, inclusivity, authenticity, mutual respect, professionalism, and growth.
We encourage all interested candidates to apply.
#J-18808-Ljbffr