Sr Enterprise AI Developer
Indexed description
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
- 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
- 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
- Passionate Learner – inquisitive about the business; open to feedback and coaching, applies learning quickly; applies learning to improve processes and procedures, proactively shares learning with colleagues and leaders; realigning and reshaping projects
- Flexible & Agile Adapter – responsive and open to change; works well with ambiguity; adapts to new plans or directions; keeps calm under pressure; perseveres to achieve the plan/task; doesn’t dwell on the past
- Talent Builder – considers how we can create an inclusive culture; encourages input from others; invests time as an informal/formal coach or buddy; works to build a diverse team with the right skills and knowledge; looks for ways to acknowledge, motivate, and value the team
- Effective Communicator – articulates in an appropriate and accurate manner; emotionally astute while remaining authentic to own style/self; encourages others to express views and opinions; demonstrates active listening and uses probing questions; is concise and relevant with data/info
- Team Builder – references the importance of teamwork and actively demonstrates collaboration and sharing; builds and/or participates in effective teams; values the importance of inclusion and various sources of thought/input; humble when operating within a team
- Customer Focused Partner – understands internal and external customer needs; contributes to plans and actions to improve the associate and customer journey/experience; holds self and team accountable for improving the customer experience; is an advocate for the customer
- Strategic Thinker – progressive thinking with the ability to bring new ideas to life; works with others to develop progressive and cost-effective strategies; provides suggestions to improve upon continuous improvement and scalability within department; uses a broad range of data sources
- Big Picture Thinker – understands own department and how other key departments operate; adopts an inclusive approach; seeks feedback reviews progress, and adapts plans as needed; understands interdependencies with other departments
- Results Driver – effective at driving and delivering on plans; holds self and team accountable to high standard of delivery; suggests opportunities for innovation and continuous improvement; focuses on the right priorities and uses resources/time wisely; demonstrates grit and determination
- Problem Solver & Decision Maker – able to consume department/operational data to identify business; identifies, gathers, and examines the relevant information; makes recommendations and takes action to solve challenges, considers importance/impact of decisions against relevant factors
The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking, standing, bending, and occasionally requires carrying, moving and setting up of computers, for example desktops, monitors, printers, and other small hardware in the testing lab.
Benefits
We offer a competitive salary and outstanding benefits package that includes medical, dental, vision, life Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with company match. In addition, associates of SBH may take advantage of our in-house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!
#Hybrid
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