Senior Solutions Architect - AI & Automation

Posted Yesterday
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Hiring Remotely in FL, USA
Remote
Senior level
Consumer Web • eCommerce • Retail
The Role
Designs and oversees enterprise systems and applications architecture, translating business and technical requirements into scalable solutions. Builds and validates AI, automation, cloud, and agent-based prototypes using Databricks and Microsoft technologies. Establishes architecture standards, reusable patterns, engineering practices, and DevOps processes while mentoring development teams and guiding solutions through production deployment. Evaluates emerging technologies and aligns infrastructure and application strategies with business goals.
Summary Generated by Built In

A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities.

The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment.

Job Summary

Technical expert who partners with business analysts and engineers in requirements gathering and reviews. Responsible for analyzing and translating business information and technical requirements into an architectural blueprint.


Major Tasks, Responsibilities, and Key Accountabilities

  • Defines, designs, and oversees the systems and applications architecture for both current and future business applications.
  • Evaluates new and emerging technologies and developmental methodologies to find faster, cost effective, and more reliable solutions for existing and proposed systems.
  • Partners with infrastructure, application, and quality teams to ensure that applications meet business requirements, are well documented, and have processes in place for ongoing support and maintenance.
  • Drives standard and efficient applications and infrastructure design by aligning the infrastructure roadmap with the application technology strategy, hardware vendor roadmaps, and service capabilities.
  • Assists in identification of emerging technologies that could have a positive impact on the organization; helps evaluate strategic fit.
  • Contributes to technology strategy through consulting support: driving requirements gathering, collection of existing deployment plans, synthesis of business goals, and operating strategies.

Nature and Scope


  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment


  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting or standing in the same location and/or there may be a need to stoop regularly or move/lift light material or equipment (typically less than 8 pounds).
  • Typically requires overnight travel less than 10% of the time.

Education and Experience


  • Typically requires BS/BA in a related discipline. Generally, 7+ years of experience in a related field. Advanced degree may offset less experience in some disciplines.

Preferred Qualifications

We are seeking a hands-on architect who can personally design, prototype, and validate AI and automation solutions while establishing reusable architecture patterns, technical standards, and engineering practices that enable enterprise-scale adoption. The ideal candidate combines deep technical expertise with a passion for innovation and has a proven track record of translating emerging technologies into practical business solutions.

AI, Databricks & Agent Architecture

  • Demonstrated experience designing and implementing AI solutions using Databricks, including AI/ML workloads, GenAI capabilities, Databricks Apps, Unity Catalog, and Lakehouse architecture.
  • Hands-on experience designing, building, and deploying AI-powered applications and intelligent agents leveraging enterprise data platforms and modern AI frameworks.
  • Experience integrating AI solutions with enterprise data platforms, APIs, SaaS applications, and business systems.
  • Hands-on experience with Microsoft Copilot Studio, Microsoft Copilot extensibility, Agent Builder, and agent-based architectures.
  • Experience designing and implementing solutions utilizing Model Context Protocol (MCP), agent orchestration patterns, and intelligent workflow automation.
  • Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, grounding techniques, memory patterns, and human-in-the-loop solution design.

Architecture, Design Patterns & Technical Leadership

  • Demonstrated ability to establish architecture standards, reference architectures, reusable design patterns, and implementation frameworks that accelerate delivery and improve consistency across development teams.
  • Experience balancing innovation, security, scalability, maintainability, and operational excellence when designing enterprise solutions.
  • Experience creating technical standards and architectural guidance for emerging technologies and AI-enabled solutions.
  • Proven ability to evaluate new technologies and determine practical enterprise adoption strategies.

Hands-On Engineering & Solution Delivery

  • Demonstrated experience designing, building, and deploying production AI, automation, and cloud-based solutions.
  • Hands-on experience building proof-of-concepts, prototypes, accelerators, and reference implementations that validate architectural approaches and emerging technologies.
  • Experience mentoring development teams and providing technical leadership throughout the full solution lifecycle, from concept through production deployment.
  • Strong troubleshooting and problem-solving capabilities across AI, data, cloud, and automation platforms.

DevOps & Engineering Excellence

  • Experience implementing Azure DevOps best practices, including source control strategies, branching models, CI/CD pipelines, release management, and environment management practices.
  • Experience establishing software engineering standards and delivery practices that improve quality, maintainability, and speed of delivery.
  • Experience developing reusable frameworks, templates, and technical accelerators that increase developer productivity and solution consistency.

Ideal Candidate Profile

The ideal candidate is a builder, designer, and innovator who is equally comfortable whiteboarding enterprise architecture, building working prototypes in Databricks, reviewing code, mentoring developers, and evaluating emerging technologies. They possess a strong engineering mindset, remain hands-on with technology, and have a passion for helping development teams deliver scalable, secure, and impactful AI and automation solutions.

If you’re looking to play a role in building America, consider one of our open opportunities. We can’t wait to meet you.

Skills Required

  • Bachelor’s degree in a related discipline
  • 7+ years of experience in a related field
  • Experience designing and implementing AI solutions using Databricks, including AI/ML, GenAI, Databricks Apps, Unity Catalog, and Lakehouse architecture
  • Experience building and deploying AI-powered applications and intelligent agents
  • Experience integrating AI solutions with enterprise data platforms, APIs, SaaS applications, and business systems
  • Experience with Microsoft Copilot Studio, Copilot extensibility, Agent Builder, and agent-based architectures
  • Experience with Model Context Protocol, agent orchestration, and intelligent workflow automation
  • Knowledge of RAG, prompt engineering, grounding, memory patterns, and human-in-the-loop design
  • Experience establishing architecture standards, reference architectures, reusable design patterns, and implementation frameworks
  • Experience designing production AI, automation, and cloud-based solutions
  • Experience building proofs of concept, prototypes, accelerators, and reference implementations
  • Experience mentoring development teams and providing technical leadership through production deployment
  • Experience implementing Azure DevOps practices, source control, branching, CI/CD, release management, and environment management
  • Experience developing reusable engineering frameworks, templates, and technical accelerators

White Cap Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about White Cap and has not been reviewed or approved by White Cap.

  • Leave & Time Off Breadth — Time off offerings include vacation, paid holidays, sick time, a wellness day, and parental leave, with flexibility to take time when needed. Some roles follow Monday–Friday schedules without weekends, supporting work-life balance.
  • Retirement Support — Retirement savings are supported by a 401(k) with employer matching contributions. This complements other financial programs like HSAs/FSAs to strengthen overall financial security.
  • Flexible Benefits — The package spans medical, dental, vision, company-paid life and disability, HSAs/FSAs, and an EAP, alongside options like legal and identity protection. Tuition and adoption reimbursements add flexibility for different life stages.

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The Company
HQ: Atlanta, GA
5,465 Employees

What We Do

White Cap and its affiliates serve as a one-stop shop, providing concrete accessories and chemicals, tools and equipment, building materials and fasteners, erosion and waterproofing products, and safety products to professional contractors by meeting their distinct and customized supply needs in non-residential, infrastructure, and residential end markets. White Cap operates approximately 500 branches across North America with more than 10,500 employees supporting approximately 200,000 customers. For more information about White Cap, visit about.whitecap.com

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