About The Position

The Princ Enterprise AI Solutions Architect is responsible for leading the design, development, and implementation of advanced AI and BI solutions across the organization, establishing enterprise-wide frameworks, standards, and best practices to ensure scalable, secure, and high-impact outcomes. This role collaborates with cross-functional teams to identify strategic opportunities, translates business requirements into robust technical solutions, and champions data governance, ethical AI use, and cloud integration. The incumbent serves as a visionary leader, driving innovation, setting technical direction, and mentoring teams to deliver AI-enabled capabilities that empower business transformation and support organizational objectives.

Requirements

  • Hands-on experience (5+ years preferred) in AI/ML development and solution architecture.
  • Proven ability to deliver enterprise AI solutions that drive measurable business outcomes.
  • Strong proficiency in:
  • Programming: Python (required), experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).
  • Data Handling: SQL, data modeling, ETL processes.
  • Experience with cloud AI platforms (Azure, AWS, or GCP) and MLOps practices.
  • Familiarity with generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Strong understanding of data governance, security, and compliance in enterprise environments.
  • Strategic thinking and ability to align AI initiatives with business goals.
  • Strong coding and solution design skills.
  • Excellent communication and stakeholder engagement abilities.
  • Change management and organizational enablement experience.

Responsibilities

  • Enterprise AI Solutioning
  • Identify opportunities for AI-driven improvements across departments (Operations, Finance, Engineering, Supply Chain, Marketing).
  • Design and implement scalable AI solutions for predictive analytics, automation, and generative AI use cases.
  • Develop proof-of-concepts and convert successful pilots into production-ready systems.
  • AI & BI Capability Building
  • Partner with IT leadership to define the vision, roadmap, and operating model for an AI/BI group.
  • Establish standards for data governance, model lifecycle management, and ethical AI practices.
  • Create reusable frameworks, templates, and playbooks for AI solution delivery.
  • Integration & Enablement
  • Work with business units to integrate AI into existing workflows and enterprise applications.
  • Collaborate with data engineering teams to ensure high-quality, governed data pipelines.
  • Provide training and mentorship to IT and business teams on AI tools and best practices.
  • Governance & Security
  • Implement privacy-by-design principles, role-based access control, and compliance guardrails.
  • Ensure all AI solutions align with organizational policies and regulatory requirements.
  • Continuous Improvement
  • Monitor deployed models for performance, drift, and bias; implement retraining strategies.
  • Optimize solutions for scalability, cost efficiency, and user adoption.

Benefits

  • Most locations offer a 9/80 schedule, providing every other Friday off
  • Competitive compensation & 401(k) program to plan for your future
  • Robust medical, dental, vision, & disability coverage with qualified wellness discounts
  • Basic Life Insurance and Additional Life & AD&D Insurances are available
  • Flexible Vacation & PTO
  • Paid Parental Leave
  • Generous Employee Referral Program
  • Voluntary Benefits Available: Longer Term Care, Legal, Identify Theft, Pet Insurance, and more
  • Voluntary Tricare Supplement available for military retirees
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