AI Solutions Engineer

Havenpark Communities

. Assess how work is performed and prioritize AI opportunities based on hours returned, error reduction, and reach .

Posted 9/24/2026full-timeOrem • Utah • United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI integration and workflow automation, with strong capabilities in Python, SQL, and cloud technologies. Proficient in managing AI models, ensuring compliance, and enhancing user adoption through effective training and communication.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAI Workflow AutomationCloud Experience (Azure, AWS, Google Cloud)REST API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingSQL ProficiencyTypeScriptNode.jsReactCI/CDAutomated TestingData ModelingLarge Language ModelsEvent-Driven Integrations

Soft Skills

Clear CommunicationUser TrainingCollaboration with Executives

Tools & Technologies

HubSpotMicrosoft 365SnowflakeClaude CodeCursorCodexGitHub CopilotPower AppsStreamlitAzure OpenAI

Industry Keywords

AI CompanionsWorkflow AutomationsData GovernanceSensitive Data HandlingLeast Privilege

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNode.jsPythonReactSQLTypeScriptGo

About the role

Key responsibilities & impact

Assess how work is performed and prioritize AI opportunities based on hours returned, error reduction, and reach
Design, build, and ship AI companions, agents, and workflow automations from prototype through production
Integrate with HubSpot, Microsoft 365, Snowflake, property management and finance platforms, and vendor APIs
Build on governed data models and the analytics semantic layer
Maintain reusable patterns, prompts, tools, and evaluation sets
Own evaluation, monitoring, exception handling, and escalation for production workflows
Enforce human review for consequential actions involving customers, residents, money, or records of record
Manage model usage and cost; use source control and pull requests; document solutions
Maintain an inventory of agents, prompts, and integrations, including ownership and access
Partner with function leaders to select problems, define success, and verify realized value
Embed with users, observe adoption and failures, and iterate
Train users and managers on capabilities, limitations, and escalation
Follow AI usage policy and intake processes, involving Legal and HR when appropriate
Implement least-privilege identities and traceable logging for agents and integrations

Requirements

What you’ll need

5+ years of shipping and supporting software that real users depend on
Strong Python and SQL; a second language such as TypeScript, Node.js, or Go is welcome
Frontend ability using React and TypeScript, Streamlit, Power Apps, or embedded tool interfaces
Experience with REST APIs, webhooks, event-driven integrations, retries, idempotency, and failure handling
Relational data and data modeling; working knowledge of document or vector stores and caching
CI/CD, pull-request-based development, automated testing, and infrastructure as code
Azure cloud experience; AWS or Google Cloud experience translates
Daily use of AI coding tools such as Claude Code, Cursor, Codex, or GitHub Copilot
Hands-on experience putting large language models into production, including prompt design, structured outputs, function/tool calling, and multi-step agent workflows
Experience with retrieval-augmented generation, embedding models, vector search, and tool-use standards such as Model Context Protocol
Direct experience with Anthropic, OpenAI, Azure OpenAI, or Snowflake Cortex APIs
Experience designing evaluations, monitoring, and guardrails
Experience putting an AI workflow into a live business process and describing what broke and what changed
Ability to map business-user workflows and identify removable steps
Knowledge of least privilege, secrets management, dedicated service identities, and sensitive data handling
Clear communication with executives, frontline users, and technical peers