Senior Enterprise AI Developer

Sally Beauty

Sr Enterprise AI Developer at Sally Beauty creating scalable AI solutions. Collaborating with teams to drive business value through technical expertise and innovative design.

Posted 7/15/2026full-timePlano • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-powered applications, with a strong focus on integrating solutions with enterprise data sources and cloud platforms. Proficient in modern programming languages and familiar with CI/CD practices, ensuring high-quality delivery and support of AI solutions.

Highest-signal resume keywords

Python ProgrammingJavaScript/TypeScript DevelopmentLarge Language Models (LLMs)Microsoft Azure Cloud PlatformCI/CD Pipeline Management

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentApplication EngineeringAPI DevelopmentAutomation WorkflowsRetrieval-Augmented Generation (RAG)Embeddings and Vector SearchPrompt DesignModel EvaluationAutomated TestingData Integration

Soft Skills

Analytical Problem-SolvingEffective Communication

Tools & Technologies

Cloud PlatformsEnterprise ApplicationsTechnical DocumentationMonitoring ToolsObservability Tools

Industry Keywords

AI TechnologiesMachine Learning PatternsSecurity Best PracticesData QualityUser Experience

Tech Stack

Tools & technologies

AzureCloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Design, develop, test, deploy, and support AI-powered applications, assistants, agents, automations, and integrations
Translate business needs into functional prototypes, pilots, and enterprise-grade solutions
Build and maintain reusable AI components and patterns (e.g., RAG, prompt templates, embeddings, orchestration, evaluation, monitoring, guardrails)
Integrate solutions with enterprise data sources, APIs, document repositories, and cloud platforms
Partner with AI architecture and governance teams to ensure adherence to approved design patterns and avoid one-off solutions
Own the end-to-end AI delivery lifecycle, including CI/CD, automated testing, deployment, observability, and support
Evaluate use cases to determine optimal solution approach (build, buy, vendor, or non-AI alternative)
Monitor and optimize solutions for performance, reliability, cost, and user adoption
Troubleshoot issues related to model outputs, data quality, integrations, latency, and user experience
Produce clear technical documentation to enable reuse, support, and long-term maintainability
Stay current on emerging AI technologies and recommend practical, value-driven improvements

Requirements

What you’ll need

Strong hands-on experience in software development and application engineering
Proficiency in modern programming languages (e.g., Python, JavaScript/TypeScript, C#)
Experience building APIs, integrations, enterprise applications, or automation workflows
Hands-on experience with modern AI/ML patterns, including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector search
- Agents, prompt design, and model evaluation
Experience with cloud platforms (preferably Microsoft Azure)
Knowledge of CI/CD pipelines, automated testing, and production deployment practices
Ability to integrate with structured and unstructured data sources
Understanding of security best practices (identity, access control, secrets management, data protection)
Strong analytical problem-solving skills and practical decision-making ability
Effective communication skills across both technical and business audiences.

Benefits

Comp & perks

medical
dental
vision
life Insurance
paid vacation and sick days
paid holidays
tuition reimbursement
401(k) with company match
in-house salon with complementary services
varied selection of food options at corporate campus
merchandise discount at Sally Beauty and CosmoProf store