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Sr Enterprise AI Developer

Job in Plano, Collin County, Texas, 75023, USA
Listing for: SBH Health System
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

Sr. Enterprise Ai Developer

This is a hybrid position that requires working from our Legacy West Support Center in Plano, Texas.

About Sally Beauty Holdings, Inc.

At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon quality products at a value price.

Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers.

About the role

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.

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

Knowledge, skills & abilities requirements

  • Strong hands-on experience in software development and application engineering
  • Proficiency in modern programming languages (e.g., Python, JavaScript/Type Script, 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

Preferred Qualifications

  • 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

Competencies & attributes

  • Passionate Learner – inquisitive about the business; open to feedback and coaching, applies learning…
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