IT AI Engineer

Sally Beauty

AI Engineer collaborating across the business to deliver scalable, production-ready AI applications at Sally Beauty. Leveraging generative AI and working with stakeholders to implement effective solutions.

Posted 4/22/2026full-timePlano • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzurePythonSDLCSQLTerraformVault

About the role

Key responsibilities & impact

Work within our enterprise AI governance framework — collaborating with business stakeholders, data engineers, and platform teams — to deliver scalable, secure, and production-ready AI applications.
Design, develop, and deploy AI/ML models and generative AI solutions into production environments using Azure AI Foundry, Azure OpenAI, and AKS-based microservice architectures.
Build and maintain LLM-powered applications including prompt engineering frameworks, RAG pipelines, agent orchestration, and MCP (Model Context Protocol) server integrations.
Collaborate with stakeholders to translate business requirements into AI proof-of-concept (POC) builds and production-ready features, including tooling for marketing, supply chain, and retail operations.
Develop and maintain CI/CD pipelines for AI workloads using GitHub Actions and ArgoCD, adhering to enterprise AI governance, security, and SDLC standards.
Implement responsible AI practices including model evaluation, bias detection, hallucination mitigation, observability, and audit logging across all AI services.
Partner with security and infrastructure teams to ensure AI systems comply with Zero Trust principles, data privacy requirements, and enterprise identity standards via Entra ID and Azure Key Vault.
Contribute to internal AI sandbox environments, enabling both professional and citizen developers to experiment with generative AI tools safely and within governance guardrails.
Document AI solution architectures, API contracts, and integration patterns; present findings and recommendations to cross-functional teams and leadership.

Requirements

What you’ll need

3+ years in software engineering or data science, with at least 1 year in AI/ML engineering or applied generative AI development.
Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field required.
Proficiency in designing and deploying LLM-powered solutions including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and agentic frameworks such as LangChain, AutoGen, or CrewAI.
Hands-on experience with Azure AI Foundry, Azure OpenAI Service, and AKS-based deployments for AI workloads. Familiarity with Azure Entra ID, Key Vault, and Managed Identity for secure AI service integration.
Strong programming skills in Python including FastAPI, Pydantic, and asyncio. Experience with REST API design, JSON schema modeling, SQL, and Infrastructure as Code tools such as Terraform or Bicep.
Working knowledge of vector databases such as Qdrant, pgvector, or Weaviate and their role in semantic search and RAG architectures.
Experience with model evaluation, A/B testing, and drift detection to maintain production model quality over time.
Solid understanding of CI/CD practices using GitHub Actions and ArgoCD for deploying AI services in containerized environments.
Strong written and verbal communication skills with the ability to translate complex technical concepts for non-technical stakeholders. Self-directed, ownership-oriented, and effective in cross-functional team settings.

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
great merchandise discount at Sally Beauty and CosmoProf Professional onsite store

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML engineeringgenerative AI developmentLLM-powered solutionsprompt engineeringretrieval-augmented generationmodel evaluationA/B testingdrift detectionREST API designInfrastructure as Code

Soft Skills

strong written communicationstrong verbal communicationself-directedownership-orientedeffective in cross-functional teams