AI Solutions Engineer

George E. Booth Co.•Greenwood, IN
•Onsite

About The Position

The AI Solutions Engineer is a strategic technology, business transformation, and hands-on engineering leader responsible for identifying, developing, building, implementing, and driving adoption of artificial intelligence and automation solutions across the organization. This role serves as the bridge between business operations and emerging technologies, ensuring AI initiatives generate measurable business value, improve operational efficiency, enhance decision-making, and support organizational growth. This position partners with executive leadership, division leaders, and operational stakeholders to identify opportunities for automation, optimization, advanced analytics, and AI-enabled decision support. This position combines strong business acumen, technical understanding, project leadership, and change management to successfully implement solutions across sales, distribution, fabrication, service, finance, and administrative functions. The successful candidate will operate as a high-level individual contributor, serving simultaneously as a strategic advisor to leadership and the primary technical builder who writes code, configures data pipelines, and deploys production-ready AI applications.

Requirements

  • Bachelor’s degree in computer science, Engineering, Information Technology, Business Administration, Data Analytics, or related field required.
  • Hands-on, production-level engineering proficiency in Python or equivalent language standard to modern AI software development.
  • Practical technical understanding of Generative AI, Large Language Models (LLMs), engineering frameworks (e.g., LangChain, LlamaIndex), vector databases, retrieval-augmented generation (RAG), and foundational model APIs.
  • Knowledge of enterprise business systems including ERP, CRM, inventory management, field service, and operational technology platforms.
  • Exceptional communication and stakeholder management skills.
  • Ability to communicate effectively with executives, technical teams, and frontline operational personnel.
  • Strong analytical and problem-solving abilities.
  • Experience managing technology vendors, consultants, and third-party solution providers.
  • Understanding of cybersecurity, data governance, and responsible AI principles.
  • Ability to translate strategic objectives into actionable technology solutions and measurable business outcomes.

Nice To Haves

  • Relevant AI, technology, project management, or cloud-platform certifications.
  • 8+ years of progressive experience in technology leadership, product management, digital transformation, or business systems implementation.
  • Minimum 3 years of experience leading AI, machine learning, advanced analytics, or automation initiatives.
  • Proven track record of hands-on deployment, showing individual capability to write code and ship functional data/AI tools from concept through deployment.
  • Experience supporting industrial, manufacturing, distribution, service, or operations-focused organizations preferred.

Responsibilities

  • Develop and execute the organization’s AI strategy aligned with business objectives, operational priorities, and growth initiatives.
  • Partner with executive and division leadership to identify opportunities where AI, automation, and advanced analytics can improve efficiency, profitability, customer experience, and decision-making.
  • Establish and maintain an enterprise AI project roadmap based on business impact, implementation complexity, organizational readiness, risk, and return on investment.
  • Evaluate emerging AI technologies, platforms, vendors, and industry trends to identify opportunities for operational and competitive advantage.
  • Serve as a trusted advisor to executive leadership regarding AI capabilities, limitations, risks, opportunities, and strategic investments.
  • Directly design, code, develop, implement, and manage the full lifecycle of AI-driven business solutions and automation workflows.
  • Rapidly architect and build functional internal Proofs of Concept (PoCs) to validate automation viability before scaling solutions across business units.
  • Analyze business processes and operational challenges to determine appropriate AI, automation, analytics, technology, or process-improvement solutions.
  • Translate business requirements and strategic objectives into practical, high-performing technology solutions with measurable business outcomes.
  • Coordinate cross-functional project teams consisting of operational leaders, business analysts, developers, data specialists, IT resources, and external partners.
  • Oversee and directly execute the technical integration of AI solutions with existing business systems, including ERP, CRM, inventory management, field service, financial, and operational platforms.
  • Identify and implement opportunities to improve sales forecasting, quoting and proposal development, pricing and margin analysis, inventory management, procurement, supply chain, fabrication scheduling, quality assurance, service operations, maintenance programs, and administrative workflows.
  • Identify opportunities to reduce manual effort, eliminate process bottlenecks, improve data accessibility, and enhance organizational decision-making.
  • Establish measurable objectives and key performance indicators for AI initiatives and communicate operational and financial results to leadership.
  • Ensure AI projects are delivered within established scope, schedule, budget, security, and performance expectations.
  • Establish governance standards for the development, deployment, monitoring, and responsible use of AI technologies.
  • Ensure AI initiatives comply with organizational data security standards, privacy requirements, regulatory obligations, and internal governance requirements.
  • Partner with IT, cybersecurity, legal, and operational stakeholders to identify and mitigate technology, data, security, and compliance risks.
  • Establish controls to monitor AI solution accuracy, reliability, security, performance, utilization, and business impact.
  • Develop and execute organizational adoption and change-management strategies to support successful implementation of AI technologies.
  • Develop education and training initiatives to improve organizational understanding and effective utilization of AI-enabled tools.
  • Foster a culture of innovation, continuous improvement, responsible experimentation, and adoption of emerging technologies.

Benefits

  • major medical
  • dental
  • vision
  • paid-time off
  • matching 401(k)
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