Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications. * Background in information retrieval, natural language processing
Familiarity with retrieval augmented generation (RAG) pipelines and how search quality feeds downstream LLM applications. * Background in information retrieval, natural language processing
Sr. AI Engineer
$101K - $138K/yr
Retrieval-Augmented Generation (RAG) * Multi-agent orchestration * Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case prioritization and ...
Sr. AI Engineer
$101K - $138K/yr
Retrieval-Augmented Generation (RAG) * Multi-agent orchestration * Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case prioritization and ...
Sr. AI Engineer
Salt Lake City, UT · On-site
$53.50 - $69/hr
Retrieval-Augmented Generation (RAG) * Multi-agent orchestration * Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case prioritization and platform ...
Sr. AI Engineer
Salt Lake City, UT · On-site
$53.50 - $69/hr
Retrieval-Augmented Generation (RAG) * Multi-agent orchestration * Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem) Guide use-case prioritization and platform ...
Applied AI Field Engineer (Orlando)
Salt Lake City, UT · On-site
$155K - $190K/yr
Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
Quick apply
Applied AI Field Engineer (Orlando)
Salt Lake City, UT · On-site
$155K - $190K/yr
Implement retrieval-augmented generation pipelines using enterprise data sources * Build and orchestrate agent-based workflows to automate targeted tasks Model Integration and System Behavior
Senior ML Engineer
Lehi, UT · On-site
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
Senior ML Engineer
Lehi, UT · On-site
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
Senior ML Engineer
Lehi, UT · On-site
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
Senior ML Engineer
Lehi, UT · On-site
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
Senior ML Engineer
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
Senior ML Engineer
$98K - $134K/yr
Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...
LLM-based application development, retrieval-augmented generation (RAG) architectures, agentic design patterns, prompt engineering, or vector databases • Demonstrated ability to learn new technical ...
LLM-based application development, retrieval-augmented generation (RAG) architectures, agentic design patterns, prompt engineering, or vector databases • Demonstrated ability to learn new technical ...
... retrieval-augmented generation pipelines using enterprise data sources • Build and orchestrate agent-based workflows to automate targeted tasks • Integrate LLM APIs such as Anthropic Claude and ...
... retrieval-augmented generation pipelines using enterprise data sources • Build and orchestrate agent-based workflows to automate targeted tasks • Integrate LLM APIs such as Anthropic Claude and ...
Lead Data Scientist (AI/ML)
Ogden, UT · On-site
$125K/yr
Experience designing and optimizing Natural Language Processing (NLP), Large Language Model (LLM), prompt engineering, retrieval-augmented generation (RAG), intent classification, and conversational ...
Lead Data Scientist (AI/ML)
Ogden, UT · On-site
$125K/yr
Experience designing and optimizing Natural Language Processing (NLP), Large Language Model (LLM), prompt engineering, retrieval-augmented generation (RAG), intent classification, and conversational ...
Lead Data Scientist (AI/ML)
Ogden, UT · On-site
$125K/yr
Experience designing and optimizing Natural Language Processing (NLP), Large Language Model (LLM), prompt engineering, retrieval-augmented generation (RAG), intent classification, and conversational ...
Lead Data Scientist (AI/ML)
Ogden, UT · On-site
$125K/yr
Experience designing and optimizing Natural Language Processing (NLP), Large Language Model (LLM), prompt engineering, retrieval-augmented generation (RAG), intent classification, and conversational ...
Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector ...
Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector ...
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior Backend Engineer - AI Platform
Salt Lake City, UT · On-site +1
$118K - $156K/yr
Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...
Senior AI Security Engineer
Salt Lake City, UT · On-site +1
$110K - $151K/yr
Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...
Senior AI Security Engineer
Salt Lake City, UT · On-site +1
$110K - $151K/yr
Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...
Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation ...
Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation ...
Retrieval Augmented Generation Rag information

Job description
Awardco is building a governed context system so that our people and, increasingly, our AI agents can trust the data they act on. As Principal AI Solutions Architect, you will own the technical design of that foundation: the hub-and-spoke master data model, the event-log flow into Snowflake, and the governed APIs that let AI agents access trusted data safely. Your first project is standing up a governed context system across Syncari, Snowflake, and Glean to deliver one trusted account and contact record and one certified definition behind our key metrics. Your broader mandate is to execute Phase 1 of our AI Operations plan, including a stateful multi-agent system that automates go-to-market workflows and helps close a significant pipeline gap. This is a hands-on, build-oriented role for an architect who is as comfortable designing survivorship rules across six systems as standing up production RAG and agent-to-agent workflows, and who will act as the technical anchor of a lean team and the architecture authority to our Software Advisory Board.
What you will do:
- Design the hub-and-spoke data schema that establishes Syncari as the overlay mastering operational records across Salesforce, HubSpot, and the other primary source systems without disrupting the existing Snowflake pipelines.
- Map and codify match and survivorship rules across the six primary systems, so conflicting records resolve into one trusted golden account and contact record with clear precedence logic and confidence thresholds.
- Architect the event-log flow into Snowflake, so operational state and change history stream reliably into certified, governed data structures using Snowflake Cortex.
- Define how AI agents access both datasets, operational (Syncari) and analytical (Snowflake), through governed APIs and MCP endpoints, enforcing read/write boundaries and human-approval gates.
- Design a stateful, multi-agent AI model and agent-to-agent (A2A) workflows, including the six micro-agents (identity, enrichment, qualification, routing, drafting, and feedback) that automate the manual middleware between HubSpot and Salesforce.
- Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational & process data for Glean and other downstream agents reason over certified truth instead of guessing.
- Architect semantic API to AI and Semantic Governance and version control so all company health metrics and processes such as ARR, Account Health, and SDR pipeline. Then, ensure it can be mapped to a trusted golden record to those definitions are unified for every team and tool shares one answer.
- Stand up stewardship queues and governed writeback, routing high-risk conflicts to named human owners and ensuring clean values flow back into source systems only after human approval.
- Partner with Data Engineers and Data Analysts to sequence and deliver the Phase 1 project roadmap, turning architecture into hands-on build work and instrumenting data-quality and KPI dashboards.
- Serve as the technical authority to the Software Advisory Board, documenting architecture decisions, presenting at the Month 3, 6, and 9 checkpoints, and providing the evidence base for the decision to scale to new data domains.
- 8+ years in data architecture, enterprise systems integration, or AI/ML solutions architecture, including hands-on design of master data management (MDM) or enterprise integration solutions.
- Hands-on experience with a enterprise service bus (ESB) or a modern MDM platform, such as Syncari, Reltio, Boomi, or MuleSoft, including schema design and match/survivorship rule configuration.
- Proven, hands-on experience building LLM applications on commercial APIs (OpenAI, Anthropic) and designing production retrieval-augmented generation (RAG) architectures.
- Demonstrated ability to design multi-agent or agent-to-agent AI systems, including stateful orchestration and governed tool/API access patterns.
- Strong working knowledge of a cloud data warehouse (Snowflake preferred), including event and log ingestion and API-based data access.
What will make you stand out:
- Direct experience with MindStudio, Syncari, Snowflake Cortex, Glean or similar platforms - or comparable MDM, semantic-layer, and AI search/orchestration platforms - in a governed-data setting.
- Understanding of Business Operational Systems systems (Salesforce, HubSpot, NetSuite) and customer or account data domains within a B2B SaaS company.
- Familiarity with the Model Context Protocol (MCP) or similar standards for governed AI agent access to enterprise data.
- Experience implementing data governance frameworks, including data contracts, stewardship workflows, and quality/KPI instrumentation.
- Awareness of AI regulatory and compliance requirements (for example, the EU AI Act) and experience building auditable, human-in-the-loop AI controls.
Why Awardco:
- We have a revolutionary, client-approved product.
- One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few.
- Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces.
- Backed by renowned investors, both local and national.
Awardco is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Disclaimer: Please be aware that all official communication regarding your application will only come from an email address ending in @awardco.com. If you receive any communication from a different domain, it may be fraudulent, and we encourage you to report it.