Sr Enterprise AI Developer

Sally Beauty Holdings•Plano, TX

8d•Hybrid

About The Position

The Senior Enterprise AI Developer is a hands-on technical role responsible for designing, developing, and delivering AI-enabled solutions that drive measurable business value. This role focuses on transforming approved use cases into secure, scalable, and production-ready applications across the enterprise. Working closely with architecture, security, data, and business teams, this role ensures AI solutions are practical, reusable, and aligned with enterprise standards.

Requirements

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

Nice To Haves

Experience with enterprise AI platforms and tools (e.g., Azure OpenAI, Azure AI Foundry, Databricks, Power Platform, Copilot Studio, Power BI)
Familiarity with vector databases, document intelligence, enterprise search, and AI orchestration frameworks
Experience with AI evaluation frameworks, observability, cost management, and prompt/version control
Background developing internal enterprise tools or workflow automation solutions
Experience in retail, e-commerce, supply chain, merchandising, finance, or customer operations
Familiarity with compliance, privacy, and enterprise data governance requirements

Responsibilities

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